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AcadloreenCreative Commons Attribution(CC - BY)JISCsupport@acadlore.comJournal of Intelligent Systems and Control, 2023, Volume 2, Issue 4, Pages undefined: Target Tracking Algorithm Using Two-Stage Cubature Kalman Filter
https://www.acadlore.com/article/JISC/2023_2_4/jisc020405
This study presents the two-stage cubature Kalman filter (TSCKF), which is a sophisticated technique designed to address the issue of variations in system models in real-life scenarios, and utilises nonlinear two-stage transformations to reorganise covariance matrices into a block-diagonal structure, effectively overcoming the limitations of conventional augmented methods. This technique effectively eliminates the need to calculate the cross-covariance between state variables and biases. This leads to a substantial reduction in computational load and facilitates seamless operation of the filter. The TSCKF design is underpinned by a robust theoretical framework, which ensures optimal computational efficiency while also ensuring precise estimations. This work demonstrates the mathematical equivalence between the TSCKF and the standard cubature Kalman filter (CKF) by utilising updated information equivalent transformations, and empirically verifies the equivalence through trajectory tracking experiments conducted on two-wheeled robotic systems subjected to random perturbations, thus affirming the greater accuracy and dependability of the TSCKF in tracking scenarios. Moreover, comparison evaluations offer further proof of the same performance between both methodologies. This study introduces a highly efficient approach in the domain of nonlinear systems and provides a dependable remedy for scenarios where traditional filtering procedures may be inadequate due to deficiencies in the system model.12-30-2023<![CDATA[ This study presents the two-stage cubature Kalman filter (TSCKF), which is a sophisticated technique designed to address the issue of variations in system models in real-life scenarios, and utilises nonlinear two-stage transformations to reorganise covariance matrices into a block-diagonal structure, effectively overcoming the limitations of conventional augmented methods. This technique effectively eliminates the need to calculate the cross-covariance between state variables and biases. This leads to a substantial reduction in computational load and facilitates seamless operation of the filter. The TSCKF design is underpinned by a robust theoretical framework, which ensures optimal computational efficiency while also ensuring precise estimations. This work demonstrates the mathematical equivalence between the TSCKF and the standard cubature Kalman filter (CKF) by utilising updated information equivalent transformations, and empirically verifies the equivalence through trajectory tracking experiments conducted on two-wheeled robotic systems subjected to random perturbations, thus affirming the greater accuracy and dependability of the TSCKF in tracking scenarios. Moreover, comparison evaluations offer further proof of the same performance between both methodologies. This study introduces a highly efficient approach in the domain of nonlinear systems and provides a dependable remedy for scenarios where traditional filtering procedures may be inadequate due to deficiencies in the system model. ]]>Target Tracking Algorithm Using Two-Stage Cubature Kalman Filterlu zhangashish bagwarigang huangdoi: 10.56578/jisc020405Journal of Intelligent Systems and Control12-30-2023Journal of Intelligent Systems and Control12-30-2023202324Article23010.56578/jisc020405https://www.acadlore.com/article/JISC/2023_2_4/jisc020405Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 4, Pages undefined: Enhanced Control of Dual Star Induction Motor via Super Twisting Algorithm: A Comparative Analysis with Classical PI Controllers
https://www.acadlore.com/article/JISC/2023_2_4/jisc020404
In the field of industrial motor control, the inherent design complexity and operational challenge of dual star induction motor (DSIM) have made it a focus of research for many scholars. This study attempts to innovatively propose a refined control approach for DSIM, by deploying two pulse width modulation (PWM) voltage sources combining with indirect field-oriented control (IFOC). Core of our innovation is the integration of a super twisting algorithm (STA) controller, which is a strategy specifically designed to enhance the motor's speed control capability. The paper introduced the technical details of DSIM, with the focus placed on the distinctive configuration of two isolated neutral three-phase windings, set apart by a 30-degree electrical phase shift. Such design has posed certain control challenges, and the STA approach has skillfully addressed these challenges. With the help of Matlab/Simulink simulations, the efficacy of STA controller is evaluated and compared with the common Proportional-Integral (PI) controller, and the simulation results are indicative of the STA controller's superiority, showing a significant improvement in reducing torque ripples and stator current fluctuations. The analysis given in the paper quantifies the improvement, showing substantial reductions in steady-state error and response time, as well as an enhanced disturbance rejection capability. These findings are instrumental in showcasing the STA controller's comparative advantage. Concludingly, the adoption of the STA-based control methodology in DSIM applications not only fosters enhanced speed control and efficiency but also holds the promise of broad applicability across various industrial scenarios. This research, therefore, marks a pivotal advancement in the field of DSIM control, potentially revolutionizing its application in diverse industrial settings. The consistency in the use of professional terminology throughout the paper ensures a coherent and comprehensive understanding of the subject matter.12-30-2023<![CDATA[ In the field of industrial motor control, the inherent design complexity and operational challenge of dual star induction motor (DSIM) have made it a focus of research for many scholars. This study attempts to innovatively propose a refined control approach for DSIM, by deploying two pulse width modulation (PWM) voltage sources combining with indirect field-oriented control (IFOC). Core of our innovation is the integration of a super twisting algorithm (STA) controller, which is a strategy specifically designed to enhance the motor's speed control capability. The paper introduced the technical details of DSIM, with the focus placed on the distinctive configuration of two isolated neutral three-phase windings, set apart by a 30-degree electrical phase shift. Such design has posed certain control challenges, and the STA approach has skillfully addressed these challenges. With the help of Matlab/Simulink simulations, the efficacy of STA controller is evaluated and compared with the common Proportional-Integral (PI) controller, and the simulation results are indicative of the STA controller's superiority, showing a significant improvement in reducing torque ripples and stator current fluctuations. The analysis given in the paper quantifies the improvement, showing substantial reductions in steady-state error and response time, as well as an enhanced disturbance rejection capability. These findings are instrumental in showcasing the STA controller's comparative advantage. Concludingly, the adoption of the STA-based control methodology in DSIM applications not only fosters enhanced speed control and efficiency but also holds the promise of broad applicability across various industrial scenarios. This research, therefore, marks a pivotal advancement in the field of DSIM control, potentially revolutionizing its application in diverse industrial settings. The consistency in the use of professional terminology throughout the paper ensures a coherent and comprehensive understanding of the subject matter. ]]>Enhanced Control of Dual Star Induction Motor via Super Twisting Algorithm: A Comparative Analysis with Classical PI Controllerses-saadi terfiasofiane mendacisalah eddine rezguihamza gasmiwalid kantasdoi: 10.56578/jisc020404Journal of Intelligent Systems and Control12-30-2023Journal of Intelligent Systems and Control12-30-2023202324Article22010.56578/jisc020404https://www.acadlore.com/article/JISC/2023_2_4/jisc020404Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 4, Pages undefined: Control of DMC-Based LLC Resonant Converters
https://www.acadlore.com/article/JISC/2023_2_4/jisc020403
LLC resonant converters own high power efficiency and density, and are widely used in electric vehicles, intelligent and communication power sources, and other fields. The converters cannot obtain accurate mathematical models and their nonlinear characteristics are complex. Therefore, traditional proportional-integral (PI) control cannot achieve control effect well. The dynamic matrix control (DMC) strategy was applied to the converter model, aiming to improve the system’s dynamic response and reduce overshoot. In addition, the DMC algorithm was used in this study to achieve precise system control. The algorithm is robust, and can improve the system’s stability and reliability. At the same time, the system can be flexibly controlled through parameter adjustment. Furthermore, a voltage prediction closed-loop controller was designed to enhance the system’s dynamic performance. In addition, a simulation model was built based on this to verify the feasibility and effectiveness of the scheme. The simulation results showed that the DMC algorithm suppressed overshoot and improved dynamic response effectively.12-27-2023<![CDATA[ LLC resonant converters own high power efficiency and density, and are widely used in electric vehicles, intelligent and communication power sources, and other fields. The converters cannot obtain accurate mathematical models and their nonlinear characteristics are complex. Therefore, traditional proportional-integral (PI) control cannot achieve control effect well. The dynamic matrix control (DMC) strategy was applied to the converter model, aiming to improve the system’s dynamic response and reduce overshoot. In addition, the DMC algorithm was used in this study to achieve precise system control. The algorithm is robust, and can improve the system’s stability and reliability. At the same time, the system can be flexibly controlled through parameter adjustment. Furthermore, a voltage prediction closed-loop controller was designed to enhance the system’s dynamic performance. In addition, a simulation model was built based on this to verify the feasibility and effectiveness of the scheme. The simulation results showed that the DMC algorithm suppressed overshoot and improved dynamic response effectively. ]]>Control of DMC-Based LLC Resonant Convertersxixi hanzhibo linkeqi kangxiaopei zhudoi: 10.56578/jisc020403Journal of Intelligent Systems and Control12-27-2023Journal of Intelligent Systems and Control12-27-2023202324Article20910.56578/jisc020403https://www.acadlore.com/article/JISC/2023_2_4/jisc020403Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 4, Pages undefined: Neural Network-Based Control and Active Vibration Mitigation in a Fully-Flexible Arm Space Robot under Elastic Base Influence: A Luenberger Observer Approach
https://www.acadlore.com/article/JISC/2023_2_4/jisc020402
This study explores dynamic simulation and integrated control in a space robotic arm system characterized by a fully-flexible arm and an elastic base. The elastic base is modeled as a lightweight spring, and the modal shapes of a simply-supported beam are selected via the assumed mode method to represent the bending vibrations of the flexible arm. Dynamic equations for the system are formulated by integrating Lagrangian mechanics with momentum conservation principles. The approach involves reducing the system into two lower-order subsystems using a dual-time-scale singular perturbation method. The first subsystem, exhibiting slow variation, accounts for the joint's rigid motion, while the second, fast-varying subsystem addresses the vibrations of the base and arm. Estimation of joint velocities is conducted through a Luenberger observer, complemented by the use of an Radial Basis Function (RBF) neural network to approximate parameter uncertainties within the system. This facilitates the control of rigid motion in the slow-varying subsystem. Subsequently, the fast-varying subsystem's vibration is actively controlled based on linear system optimal control theory. Numerical simulations validate the integrated control approach's effectiveness in managing both motion and vibration, demonstrating its potential in enhancing the operational precision and stability of space robot systems.12-05-2023<![CDATA[ This study explores dynamic simulation and integrated control in a space robotic arm system characterized by a fully-flexible arm and an elastic base. The elastic base is modeled as a lightweight spring, and the modal shapes of a simply-supported beam are selected via the assumed mode method to represent the bending vibrations of the flexible arm. Dynamic equations for the system are formulated by integrating Lagrangian mechanics with momentum conservation principles. The approach involves reducing the system into two lower-order subsystems using a dual-time-scale singular perturbation method. The first subsystem, exhibiting slow variation, accounts for the joint's rigid motion, while the second, fast-varying subsystem addresses the vibrations of the base and arm. Estimation of joint velocities is conducted through a Luenberger observer, complemented by the use of an Radial Basis Function (RBF) neural network to approximate parameter uncertainties within the system. This facilitates the control of rigid motion in the slow-varying subsystem. Subsequently, the fast-varying subsystem's vibration is actively controlled based on linear system optimal control theory. Numerical simulations validate the integrated control approach's effectiveness in managing both motion and vibration, demonstrating its potential in enhancing the operational precision and stability of space robot systems. ]]>Neural Network-Based Control and Active Vibration Mitigation in a Fully-Flexible Arm Space Robot under Elastic Base Influence: A Luenberger Observer Approachlijiao zhangxiaoyan yudoi: 10.56578/jisc020402Journal of Intelligent Systems and Control12-05-2023Journal of Intelligent Systems and Control12-05-2023202324Article19710.56578/jisc020402https://www.acadlore.com/article/JISC/2023_2_4/jisc020402Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 4, Pages undefined: Comparative Analysis of PID and Fuzzy Logic Controllers for Position Control in Double-Link Robotic Manipulators
https://www.acadlore.com/article/JISC/2023_2_4/jisc020401
This study presents a comprehensive evaluation of linear and non-linear control systems, specifically Proportion Integration Differentiation (PID) and fuzzy logic controllers, in the context of position control within double-link robotic manipulators. The effectiveness of these controllers was rigorously assessed in a simulated environment, utilizing MATLAB Simulink for the simulation and SOLIDWORKS for the model design. The PID controller, characterized by its Kp, Ki, and Kd components, was implemented both in the simulation and on the hardware. However, due to the constraints of the microcontroller's RAM and processor, which facilitate the hardware's connection with MATLAB, the application of the Fuzzy Logic concept to hardware was not feasible. In the simulated environment, the fuzzy logic controller demonstrated superior stability in comparison to the PID controller, evidenced by a lower settling time (1.0 seconds) and overshoot (2%). In contrast, the PID controller exhibited a settling time of 0.2 seconds and an overshoot of 32%. Additionally, the fuzzy logic controller showcased a 44% reduction in steady-state error relative to the PID controller. When applied to hardware, the PID controller maintained stable results, achieving a settling time of 0.6 seconds and an overshoot of 2%. The steady-state errors for Link 1 and Link 2 were recorded as 3.6° and 1.4°, respectively. The findings highlight the fuzzy logic controller's enhanced stability, rendering it more suitable for ensuring the accuracy and protection of the manipulator system. As a non-linear controller, the fuzzy logic controller efficiently addresses various potential errors through its intelligent control mechanism, which is embedded in its fuzzy rules. Conversely, the PID controller, a linear controller, responds rapidly but may lack flexibility in complex scenarios due to its inherent linearity. This study underscores the importance of selecting an appropriate controller based on the specific requirements of robotic manipulator systems, with a focus on achieving optimal performance and stability.11-28-2023<![CDATA[ <p>This study presents a comprehensive evaluation of linear and non-linear control systems, specifically Proportion Integration Differentiation (PID) and fuzzy logic controllers, in the context of position control within double-link robotic manipulators. The effectiveness of these controllers was rigorously assessed in a simulated environment, utilizing MATLAB Simulink for the simulation and SOLIDWORKS for the model design. The PID controller, characterized by its<em> Kp, Ki,</em> and <em>Kd</em> components, was implemented both in the simulation and on the hardware. However, due to the constraints of the microcontroller's RAM and processor, which facilitate the hardware's connection with MATLAB, the application of the Fuzzy Logic concept to hardware was not feasible. In the simulated environment, the fuzzy logic controller demonstrated superior stability in comparison to the PID controller, evidenced by a lower settling time (1.0 seconds) and overshoot (2%). In contrast, the PID controller exhibited a settling time of 0.2 seconds and an overshoot of 32%. Additionally, the fuzzy logic controller showcased a 44% reduction in steady-state error relative to the PID controller. When applied to hardware, the PID controller maintained stable results, achieving a settling time of 0.6 seconds and an overshoot of 2%. The steady-state errors for Link 1 and Link 2 were recorded as 3.6° and 1.4°, respectively. The findings highlight the fuzzy logic controller's enhanced stability, rendering it more suitable for ensuring the accuracy and protection of the manipulator system. As a non-linear controller, the fuzzy logic controller efficiently addresses various potential errors through its intelligent control mechanism, which is embedded in its fuzzy rules. Conversely, the PID controller, a linear controller, responds rapidly but may lack flexibility in complex scenarios due to its inherent linearity. This study underscores the importance of selecting an appropriate controller based on the specific requirements of robotic manipulator systems, with a focus on achieving optimal performance and stability.</p> ]]>Comparative Analysis of PID and Fuzzy Logic Controllers for Position Control in Double-Link Robotic Manipulatorsnor maniha abdul ghaniaqib othmanazrul azim abdullah hashimahmas nor kasrudin nasirdoi: 10.56578/jisc020401Journal of Intelligent Systems and Control11-28-2023Journal of Intelligent Systems and Control11-28-2023202324Article18310.56578/jisc020401https://www.acadlore.com/article/JISC/2023_2_4/jisc020401Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 3, Pages undefined: Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approach
https://www.acadlore.com/article/JISC/2023_2_3/jisc020305
In this investigation, the robust H$\infty$ control of nonlinear electric vehicles (EVs), powered by permanent magnet synchronous motors (PMSM), was examined. Emphasis was placed on enhancing the accuracy and robustness of the vehicle speed regulation by incorporating a meticulous H$\infty$ method, supplemented by the proficient integration of Linear Matrix Inequality (LMI). A solution predicated on the LMI approach was devised, encompassing two distinct H$\infty$ controllers for both current and speed control. Subsequent to an extensive analysis of the mathematical and control model of the EV, weighting functions were judiciously selected to optimize stability and performance. The proposed methodology offers significant advancements in the domain of EV control strategies and proffers insights into the application of robust control methods. Through comprehensive simulations, the effectiveness of the outlined method was validated, revealing impeccable speed control and ensuring steadfast performance when applied to the dynamic model of an EV equipped with a PMSM motor. This research elucidates the progressive strides made in the realm of EV control tactics and offers profound understandings of robust control methodologies.09-27-2023<![CDATA[ <p>In this investigation, the robust H$\infty$ control of nonlinear electric vehicles (EVs), powered by permanent magnet synchronous motors (PMSM), was examined. Emphasis was placed on enhancing the accuracy and robustness of the vehicle speed regulation by incorporating a meticulous H$\infty$ method, supplemented by the proficient integration of Linear Matrix Inequality (LMI). A solution predicated on the LMI approach was devised, encompassing two distinct H$\infty$ controllers for both current and speed control. Subsequent to an extensive analysis of the mathematical and control model of the EV, weighting functions were judiciously selected to optimize stability and performance. The proposed methodology offers significant advancements in the domain of EV control strategies and proffers insights into the application of robust control methods. Through comprehensive simulations, the effectiveness of the outlined method was validated, revealing impeccable speed control and ensuring steadfast performance when applied to the dynamic model of an EV equipped with a PMSM motor. This research elucidates the progressive strides made in the realm of EV control tactics and offers profound understandings of robust control methodologies.</p> ]]>Robust Speed Control in Nonlinear Electric Vehicles Using H-Infinity Control and the LMI Approachfarid oudjamaabdelmadjid boumedienekhayreddine saididjamila boubekeurdoi: 10.56578/jisc020305Journal of Intelligent Systems and Control09-27-2023Journal of Intelligent Systems and Control09-27-2023202323Article17010.56578/jisc020305https://www.acadlore.com/article/JISC/2023_2_3/jisc020305Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 3, Pages undefined: A Systematic Review of Robotic Process Automation in Business Operations: Contemporary Trends and Insights
https://www.acadlore.com/article/JISC/2023_2_3/jisc020304
Robotic Process Automation (RPA), employing software robots or bots, has emerged as a pivotal technological advancement, automating repetitive, rule-based tasks within business operations. This leads to enhanced operational efficiency and substantial cost reductions. In this systematic review, information was extracted from 62 pertinent research articles on RPA published between 2016 and 2022. The findings elucidate the fundamental principles of RPA, predominant trends, and leading RPA frameworks, alongside their optimal industry applications. Moreover, the necessary procedural steps for RPA implementation in industries are delineated. The objectives of this study encompass highlighting contemporary RPA research directions and evaluating its potential in streamlining diverse business processes.09-10-2023<![CDATA[ <p>Robotic Process Automation (RPA), employing software robots or bots, has emerged as a pivotal technological advancement, automating repetitive, rule-based tasks within business operations. This leads to enhanced operational efficiency and substantial cost reductions. In this systematic review, information was extracted from 62 pertinent research articles on RPA published between 2016 and 2022. The findings elucidate the fundamental principles of RPA, predominant trends, and leading RPA frameworks, alongside their optimal industry applications. Moreover, the necessary procedural steps for RPA implementation in industries are delineated. The objectives of this study encompass highlighting contemporary RPA research directions and evaluating its potential in streamlining diverse business processes.</p> ]]>A Systematic Review of Robotic Process Automation in Business Operations: Contemporary Trends and Insightsvivek bhardwajdoi: 10.56578/jisc020304Journal of Intelligent Systems and Control09-10-2023Journal of Intelligent Systems and Control09-10-2023202323Article15310.56578/jisc020304https://www.acadlore.com/article/JISC/2023_2_3/jisc020304Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 3, Pages undefined: Enhanced Tracking of DC-DC Buck Converter Systems Using Reduced-Order Extended State Observer-Based Model Predictive Control
https://www.acadlore.com/article/JISC/2023_2_3/jisc020303
In this study, the challenges of load variations, input voltage fluctuations, and reference voltage deviations for a DC-DC buck converter system are addressed. A composite voltage controller, founded on a model predictive control (MPC) integrated with a reduced-order state observer (RESO), is introduced to ameliorate the tracking performances of such converters. Disturbances, both matched and mismatched, are conceptualized as total disturbances within an innovatively proposed error tracking model. Subsequently, a RESO is meticulously developed to estimate and attenuate these disturbances. In parallel, an MPC is crafted to ensure enhanced system robustness and superior steady-state performances. Comparative simulations indicate that this innovative composite controller exhibits a rapid settling time and smoother response curve compared to traditional MPC. Furthermore, it is observed that when exposed to disturbances, the proposed methodology demonstrates heightened disturbance rejection capabilities, accelerated voltage tracking, and improved steady-state performance.08-24-2023<![CDATA[ <p>In this study, the challenges of load variations, input voltage fluctuations, and reference voltage deviations for a DC-DC buck converter system are addressed. A composite voltage controller, founded on a model predictive control (MPC) integrated with a reduced-order state observer (RESO), is introduced to ameliorate the tracking performances of such converters. Disturbances, both matched and mismatched, are conceptualized as total disturbances within an innovatively proposed error tracking model. Subsequently, a RESO is meticulously developed to estimate and attenuate these disturbances. In parallel, an MPC is crafted to ensure enhanced system robustness and superior steady-state performances. Comparative simulations indicate that this innovative composite controller exhibits a rapid settling time and smoother response curve compared to traditional MPC. Furthermore, it is observed that when exposed to disturbances, the proposed methodology demonstrates heightened disturbance rejection capabilities, accelerated voltage tracking, and improved steady-state performance.</p> ]]>Enhanced Tracking of DC-DC Buck Converter Systems Using Reduced-Order Extended State Observer-Based Model Predictive Controlbozhao wangshengquan lishiqi kanjuan lidoi: 10.56578/jisc020303Journal of Intelligent Systems and Control08-24-2023Journal of Intelligent Systems and Control08-24-2023202323Article14310.56578/jisc020303https://www.acadlore.com/article/JISC/2023_2_3/jisc020303Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 3, Pages undefined: Detection and Interpretation of Indian Sign Language Using LSTM Networks
https://www.acadlore.com/article/JISC/2023_2_3/jisc020302
Sign language plays a crucial role in communication for individuals with speech or hearing difficulties. However, the lack of a comprehensive Indian Sign Language (ISL) corpus impedes the development of text-to-ISL conversion systems. This study proposes a specific deep learning-based sign language detection system tailored specifically for Indian Sign Language (ISL). The proposed system utilizes Long Short-Term Memory (LSTM) networks to detect and recognize actions from dynamic ISL gestures captured in videos. Initially, the system employs computer vision algorithms to extract relevant features and representations from the input gestures. Subsequently, an LSTM-based deep learning architecture is employed to capture the temporal dependencies and patterns within the gestures. LSTM models excel in sequential data processing, making them well-suited for analyzing the dynamic nature of sign language gestures. To assess the effectiveness of the proposed system, extensive experimentation and evaluation were conducted. A customized dataset was curated, encompassing a diverse range of ISL sign language actions. This dataset was created by collecting video recordings of native ISL users performing various actions, ensuring comprehensive coverage of gestures and expressions. These videos were meticulously annotated and labelled with corresponding textual representations of the gestures. The dataset was then split into training and testing sets to train the LSTM-based model and evaluate its performance. The proposed system yielded promising results during the validation process, achieving a training accuracy of 96% and a test accuracy of 87% for ISL recognition. These results outperformed previous approaches in the field. The system's ability to effectively detect and recognize actions from dynamic ISL gestures, facilitated by the deep learning-based approach utilizing LSTM networks, demonstrates the potential for more accurate and robust sign language recognition systems. However, it is important to acknowledge the limitations of the system. Currently, the system's primary focus is on recognizing individual words rather than full sentences, indicating the need for further research to enhance sentence-level interpretations. Additionally, variations in lighting conditions, camera angles, and hand orientations can potentially impact the system's accuracy, particularly in the context of ISL.07-19-2023<![CDATA[ <p>Sign language plays a crucial role in communication for individuals with speech or hearing difficulties. However, the lack of a comprehensive Indian Sign Language (ISL) corpus impedes the development of text-to-ISL conversion systems. This study proposes a specific deep learning-based sign language detection system tailored specifically for Indian Sign Language (ISL). The proposed system utilizes Long Short-Term Memory (LSTM) networks to detect and recognize actions from dynamic ISL gestures captured in videos. Initially, the system employs computer vision algorithms to extract relevant features and representations from the input gestures. Subsequently, an LSTM-based deep learning architecture is employed to capture the temporal dependencies and patterns within the gestures. LSTM models excel in sequential data processing, making them well-suited for analyzing the dynamic nature of sign language gestures. To assess the effectiveness of the proposed system, extensive experimentation and evaluation were conducted. A customized dataset was curated, encompassing a diverse range of ISL sign language actions. This dataset was created by collecting video recordings of native ISL users performing various actions, ensuring comprehensive coverage of gestures and expressions. These videos were meticulously annotated and labelled with corresponding textual representations of the gestures. The dataset was then split into training and testing sets to train the LSTM-based model and evaluate its performance. The proposed system yielded promising results during the validation process, achieving a training accuracy of 96% and a test accuracy of 87% for ISL recognition. These results outperformed previous approaches in the field. The system's ability to effectively detect and recognize actions from dynamic ISL gestures, facilitated by the deep learning-based approach utilizing LSTM networks, demonstrates the potential for more accurate and robust sign language recognition systems. However, it is important to acknowledge the limitations of the system. Currently, the system's primary focus is on recognizing individual words rather than full sentences, indicating the need for further research to enhance sentence-level interpretations. Additionally, variations in lighting conditions, camera angles, and hand orientations can potentially impact the system's accuracy, particularly in the context of ISL.</p> ]]>Detection and Interpretation of Indian Sign Language Using LSTM Networkspiyusha vyavaharesanket dhawalepriyanka takalevikrant kolibhavana kanawadeshraddha khondedoi: 10.56578/jisc020302Journal of Intelligent Systems and Control07-19-2023Journal of Intelligent Systems and Control07-19-2023202323Article13210.56578/jisc020302https://www.acadlore.com/article/JISC/2023_2_3/jisc020302Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 3, Pages undefined: Computational Fluid Dynamics Analysis of Vertical Axis Wind Turbine Heights for Enhanced Hydrogen Production in Urban Environments
https://www.acadlore.com/article/JISC/2023_2_3/jisc020301
A significant surge in the installation of Vertical Axis Wind Turbines (VAWTs) in areas of spatial constraints and fluctuating wind directions has been observed, attributable to the omission of a yaw mechanism, which otherwise would require orientation towards wind direction. Among VAWTs, the Savonius variant, characterized by an S-shaped rotor, assumes a particular interest due to its operational advantages in the drag-based regime and its self-starting capability. Given their ability to generate electricity under low-wind-speed conditions, these turbines are markedly suited for urban locales. This investigation deploys Computational Fluid Dynamics (CFD) analysis, utilizing ANSYS CFX software, on VAWTs of varying blade heights, facilitating the measurement of torque generation under distinct air velocities. The wind turbine models for this analysis were designed using Creo software. Concurrently, an exploration into the feasibility of VAWTs for hydrogen production through electrolysis is undertaken using analytical methods. Results highlight the substantial influence of turbine height on power generation, which subsequently has direct repercussions on hydrogen production efficiency via the electrolyzer. A 600 mm height VAWT yielded the maximum hydrogen production of 1.05 kg, whereas an 800 mm height VAWT resulted in the minimum production of 0.339 kg. The research findings underscore the potential of VAWTs in hydrogen generation, emphasizing the critical role of wind turbine design optimization in augmenting power generation and, thus, hydrogen production.07-19-2023<![CDATA[ <p>A significant surge in the installation of Vertical Axis Wind Turbines (VAWTs) in areas of spatial constraints and fluctuating wind directions has been observed, attributable to the omission of a yaw mechanism, which otherwise would require orientation towards wind direction. Among VAWTs, the Savonius variant, characterized by an S-shaped rotor, assumes a particular interest due to its operational advantages in the drag-based regime and its self-starting capability. Given their ability to generate electricity under low-wind-speed conditions, these turbines are markedly suited for urban locales. This investigation deploys Computational Fluid Dynamics (CFD) analysis, utilizing ANSYS CFX software, on VAWTs of varying blade heights, facilitating the measurement of torque generation under distinct air velocities. The wind turbine models for this analysis were designed using Creo software. Concurrently, an exploration into the feasibility of VAWTs for hydrogen production through electrolysis is undertaken using analytical methods. Results highlight the substantial influence of turbine height on power generation, which subsequently has direct repercussions on hydrogen production efficiency via the electrolyzer. A 600 mm height VAWT yielded the maximum hydrogen production of 1.05 kg, whereas an 800 mm height VAWT resulted in the minimum production of 0.339 kg. The research findings underscore the potential of VAWTs in hydrogen generation, emphasizing the critical role of wind turbine design optimization in augmenting power generation and, thus, hydrogen production.</p> ]]>Computational Fluid Dynamics Analysis of Vertical Axis Wind Turbine Heights for Enhanced Hydrogen Production in Urban Environmentsmthembu lindaabhishek agarwalpramod sinhadoi: 10.56578/jisc020301Journal of Intelligent Systems and Control07-19-2023Journal of Intelligent Systems and Control07-19-2023202323Article12310.56578/jisc020301https://www.acadlore.com/article/JISC/2023_2_3/jisc020301Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 2, Pages undefined: New 5D Hyperchaotic System Derived from the Sprott C System: Properties and Anti Synchronization
https://www.acadlore.com/article/JISC/2023_2_2/jisc020205
This study introduces a new ten-term 5-D hyperchaotic system, derived from the 3-D Sprott C system. The proposed system has coexisting two attractors: the self-excited and hidden attractors. This system exhibits a rich array of characteristics, taking inspiration from various forms of equilibrium points, stable focus-nodes, saddle-focus, and non-hyperbolic unstable points. These features are shown to be dependent on parameter adjustments. The coexistence of chaotic and hyperchaotic attractors within a 5-D system coupled with three types of equilibrium points is an intriguing phenomenon. A spectrum of numerical methodologies, including phase portraits, computation of Lyapunov exponent, estimation of Lyapunov dimension, and multistability analysis, have been employed to effectively illustrate the diverse attractors. The stability theory is utilized for investigating the synchronization problem, a topic that is elucidated in depth. An assortment of dynamical behavior, such as hyperchaotic, hyperchaotic with 2-tours, chaotic, and chaotic with 2-tours, is recognized. Validation of the primary findings is conducted via theoretical and numerical simulations, fortifying the theoretical conclusions, with numerical simulations executed using MATLAB2021.06-29-2023<![CDATA[ <p>This study introduces a new ten-term 5-D hyperchaotic system, derived from the 3-D Sprott C system. The proposed system has coexisting two attractors: the self-excited and hidden attractors. This system exhibits a rich array of characteristics, taking inspiration from various forms of equilibrium points, stable focus-nodes, saddle-focus, and non-hyperbolic unstable points. These features are shown to be dependent on parameter adjustments. The coexistence of chaotic and hyperchaotic attractors within a 5-D system coupled with three types of equilibrium points is an intriguing phenomenon. A spectrum of numerical methodologies, including phase portraits, computation of Lyapunov exponent, estimation of Lyapunov dimension, and multistability analysis, have been employed to effectively illustrate the diverse attractors. The stability theory is utilized for investigating the synchronization problem, a topic that is elucidated in depth. An assortment of dynamical behavior, such as hyperchaotic, hyperchaotic with 2-tours, chaotic, and chaotic with 2-tours, is recognized. Validation of the primary findings is conducted via theoretical and numerical simulations, fortifying the theoretical conclusions, with numerical simulations executed using MATLAB2021.</p> ]]>New 5D Hyperchaotic System Derived from the Sprott C System: Properties and Anti Synchronizationsaad fawzi al-azzawianmar m. hasandoi: 10.56578/jisc020205Journal of Intelligent Systems and Control06-29-2023Journal of Intelligent Systems and Control06-29-2023202322Article11010.56578/jisc020205https://www.acadlore.com/article/JISC/2023_2_2/jisc020205Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 2, Pages undefined: Advancements in the Design and Automation of Biomimetic Ornithopters: An Investigation into Flapping-Wing Flight Control
https://www.acadlore.com/article/JISC/2023_2_2/jisc020204
Unmanned Aerial Vehicles (UAVs), in the form of ornithopters, which emulate avian flight through wing flapping, have been the focus of this investigation. The remarkable maneuverability of birds and insects, often lacking in conventional aircraft, is harnessed to advance the control and stability of flapping wing flight. The need for such exploration is driven by the potential benefits to both scientific inquiry and societal applications. This investigation tackles the task of tailoring the ornithopter's design and component choice to cater to performance expectations derived from the flight attributes of birds, such as superior maneuverability, agility, low-speed flight capabilities, and high propulsive efficiency. The primary goal is to ensure a sustained airborne state through the generation of lift equivalent to the ornithopter's weight. Commonly available materials have been employed in the construction of the ornithopter. SolidWorks flow simulator was utilized to simulate aerodynamics. A 1000mm length of the wing was subjected to a 3m/s air stream at a 5-degree angle of attack for the simulation. The simulated result, which represents a 2kg ornithopter, exhibited a lift force of 0.8N and a drag force of 0.2N. Further simulations were conducted at varying attack angles (from 0 to 35 degrees) to gauge the range of lift and drag coefficients. The investigation concludes that the constructed ornithopter should generate an upward thrust of 2.7N at a speed of 5m/s, even without wing flapping, ensuring controlled and stable flight.06-29-2023<![CDATA[ <p>Unmanned Aerial Vehicles (UAVs), in the form of ornithopters, which emulate avian flight through wing flapping, have been the focus of this investigation. The remarkable maneuverability of birds and insects, often lacking in conventional aircraft, is harnessed to advance the control and stability of flapping wing flight. The need for such exploration is driven by the potential benefits to both scientific inquiry and societal applications. This investigation tackles the task of tailoring the ornithopter's design and component choice to cater to performance expectations derived from the flight attributes of birds, such as superior maneuverability, agility, low-speed flight capabilities, and high propulsive efficiency. The primary goal is to ensure a sustained airborne state through the generation of lift equivalent to the ornithopter's weight. Commonly available materials have been employed in the construction of the ornithopter. SolidWorks flow simulator was utilized to simulate aerodynamics. A 1000mm length of the wing was subjected to a 3m/s air stream at a 5-degree angle of attack for the simulation. The simulated result, which represents a 2kg ornithopter, exhibited a lift force of 0.8N and a drag force of 0.2N. Further simulations were conducted at varying attack angles (from 0 to 35 degrees) to gauge the range of lift and drag coefficients. The investigation concludes that the constructed ornithopter should generate an upward thrust of 2.7N at a speed of 5m/s, even without wing flapping, ensuring controlled and stable flight.</p> ]]>Advancements in the Design and Automation of Biomimetic Ornithopters: An Investigation into Flapping-Wing Flight Controladedotun adetunlabernard adaramolahabeebullah abdulkadirdoi: 10.56578/jisc020204Journal of Intelligent Systems and Control06-29-2023Journal of Intelligent Systems and Control06-29-2023202322Article9910.56578/jisc020204https://www.acadlore.com/article/JISC/2023_2_2/jisc020204Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 2, Pages undefined: Comparative Examination of Control Strategies in DC-DC Power Converters: A Traditional and Artificial Intelligence Perspective
https://www.acadlore.com/article/JISC/2023_2_2/jisc020203
This study undertakes a comprehensive review of control techniques applicable to DC-DC power converters, categorized into Traditional Control (TC) methods and those based on Artificial Intelligence (AI). Succinct descriptions of prevalent strategies in both classifications are furnished, shedding light on their fundamental principles. Further, the current progress in the field is evaluated, anchoring the discussion in the provided categorization. In assessing the merits and potential drawbacks of each method, specific emphasis is laid on the target converter topology. Predominant topologies such as the elementary buck, boost, bidirectional buck-boost, and dual-active-bridge (DAB) are scrutinized. To furnish a thorough analysis and facilitate comparison of principal control methods, simulations of four fundamental off-the-shelf algorithms are undertaken, employing a 1 MHz switching frequency.06-28-2023<![CDATA[ This study undertakes a comprehensive review of control techniques applicable to DC-DC power converters, categorized into Traditional Control (TC) methods and those based on Artificial Intelligence (AI). Succinct descriptions of prevalent strategies in both classifications are furnished, shedding light on their fundamental principles. Further, the current progress in the field is evaluated, anchoring the discussion in the provided categorization. In assessing the merits and potential drawbacks of each method, specific emphasis is laid on the target converter topology. Predominant topologies such as the elementary buck, boost, bidirectional buck-boost, and dual-active-bridge (DAB) are scrutinized. To furnish a thorough analysis and facilitate comparison of principal control methods, simulations of four fundamental off-the-shelf algorithms are undertaken, employing a 1 MHz switching frequency. ]]>Comparative Examination of Control Strategies in DC-DC Power Converters: A Traditional and Artificial Intelligence Perspectiveerik martínez-verapedro bañuelos-sanchezgibran etcheverrydoi: 10.56578/jisc020203Journal of Intelligent Systems and Control06-28-2023Journal of Intelligent Systems and Control06-28-2023202322Article8210.56578/jisc020203https://www.acadlore.com/article/JISC/2023_2_2/jisc020203Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 2, Pages undefined: Performance Evaluation of a Sliding Mode Control-Kalman Filter-Based Mathematical Model for Altitude and Attitude Control in Quadcopters
https://www.acadlore.com/article/JISC/2023_2_2/jisc020202
This study presents an evaluation of a mathematical model designed for altitude and attitude control in quadcopters, employing Sliding Mode Control (SMC) in conjunction with the Kalman Filter algorithm. The developed mathematical model focuses on controlling the quadcopter's height along the z-axis and its attitude, encompassing roll, pitch, and yaw. Simulation results demonstrate that the quadcopter achieves stable control within a time span of 2 to 4 seconds. The designed control system has been simulated, implemented on a mini-quadcopter, and tested for the occurrence of chattering events. The incorporation of the SMC-Kalman Filter control system effectively mitigates chattering, resulting in enhanced stability for the quadcopter. This work show cases the potential of the proposed mathematical model in achieving precise and stable control in quadcopters, thus expanding the applicability of such systems in various applications.06-05-2023<![CDATA[ This study presents an evaluation of a mathematical model designed for altitude and attitude control in quadcopters, employing Sliding Mode Control (SMC) in conjunction with the Kalman Filter algorithm. The developed mathematical model focuses on controlling the quadcopter's height along the z-axis and its attitude, encompassing roll, pitch, and yaw. Simulation results demonstrate that the quadcopter achieves stable control within a time span of 2 to 4 seconds. The designed control system has been simulated, implemented on a mini-quadcopter, and tested for the occurrence of chattering events. The incorporation of the SMC-Kalman Filter control system effectively mitigates chattering, resulting in enhanced stability for the quadcopter. This work show cases the potential of the proposed mathematical model in achieving precise and stable control in quadcopters, thus expanding the applicability of such systems in various applications. ]]>Performance Evaluation of a Sliding Mode Control-Kalman Filter-Based Mathematical Model for Altitude and Attitude Control in Quadcopterspurwadi agus darwitonilla perdana agustinadoi: 10.56578/jisc020202Journal of Intelligent Systems and Control06-05-2023Journal of Intelligent Systems and Control06-05-2023202322Article7010.56578/jisc020202https://www.acadlore.com/article/JISC/2023_2_2/jisc020202Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 2, Pages undefined: Dynamic Characteristic Analysis of Tri-Stable Piezoelectric Energy Harvester with Double Elastic Amplifiers
https://www.acadlore.com/article/JISC/2023_2_2/jisc020201
In order to further improve the vibration energy harvesting efficiency of piezoelectric energy harvester under low frequency environmental excitation, this paper, based on the traditional magnetic tri-stable piezoelectric energy collector model, proposes a tri-stable piezoelectric energy harvester (TPEH+DEM) model with two elastic amplifiers which are installed between the U-shaped frame and the base and between the fixed end of the piezoelectric cantilever beam and the U-shaped frame respectively. Based on Hamilton principle, the motion equation of electromechanical coupling of TPEH+DEM system is established, and the analytical solutions of displacement, output voltage and power of the system are obtained by harmonic balance method. The effects of the mass of elastic amplifier, spring stiffness, magnet spacing and load resistance on the dynamic characteristics of energy harvesting of TPEH+DEM system are analyzed. The result shows that there are two peaks in the response output power of TPEH+DEM system in the operating frequency range. By adjusting the mass and stiffness of the elastic amplifier reasonably, the system can move into the inter-well motion under low external excitation intensity, and produce high output power. Compared with the traditional model which only has an elastic amplifier on the base of piezoelectric energy harvester, TPEH+DEM model has better energy harvesting performance under low frequency and low intensity external excitation.04-02-2023<![CDATA[ <p>In order to further improve the vibration energy harvesting efficiency of piezoelectric energy harvester under low frequency environmental excitation, this paper, based on the traditional magnetic tri-stable piezoelectric energy collector model, proposes a tri-stable piezoelectric energy harvester (TPEH+DEM) model with two elastic amplifiers which are installed between the U-shaped frame and the base and between the fixed end of the piezoelectric cantilever beam and the U-shaped frame respectively. Based on Hamilton principle, the motion equation of electromechanical coupling of TPEH+DEM system is established, and the analytical solutions of displacement, output voltage and power of the system are obtained by harmonic balance method. The effects of the mass of elastic amplifier, spring stiffness, magnet spacing and load resistance on the dynamic characteristics of energy harvesting of TPEH+DEM system are analyzed. The result shows that there are two peaks in the response output power of TPEH+DEM system in the operating frequency range. By adjusting the mass and stiffness of the elastic amplifier reasonably, the system can move into the inter-well motion under low external excitation intensity, and produce high output power. Compared with the traditional model which only has an elastic amplifier on the base of piezoelectric energy harvester, TPEH+DEM model has better energy harvesting performance under low frequency and low intensity external excitation.</p> ]]>Dynamic Characteristic Analysis of Tri-Stable Piezoelectric Energy Harvester with Double Elastic Amplifiersdawei manyingying baiqingnan huhuaiming xugaozheng xuliping tangdoi: 10.56578/jisc020201Journal of Intelligent Systems and Control04-02-2023Journal of Intelligent Systems and Control04-02-2023202322Article5410.56578/jisc020201https://www.acadlore.com/article/JISC/2023_2_2/jisc020201Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 1, Pages undefined: Characterization of the Direct Current Micromotor by Simscape
https://www.acadlore.com/article/JISC/2023_2_1/jisc020105
Direct current (DC) micromotors play a key role in micro robotic systems. The DC micromotor has a large market demand but there is a lack of theoretical research for it. The DC micromotor is still usable in many applications, despite the main problem that arises at the level of the connection between the brushes, or "carbons" and the rotary commutator. Mainly because their power circuit is simple to build. The main objective of this work is the evaluation by simulation under Simscape of the performance of Faulhaber permanent magnet DC micromotor and the study of its characteristics. Simulation results on MATLAB/Simscape software showed that a Simscape test bench is ultra-efficient for the study of electric drives. Students of engineering schools are thus prepared for the latest developments and real industrial requirements.03-30-2023<![CDATA[ Direct current (DC) micromotors play a key role in micro robotic systems. The DC micromotor has a large market demand but there is a lack of theoretical research for it. The DC micromotor is still usable in many applications, despite the main problem that arises at the level of the connection between the brushes, or "carbons" and the rotary commutator. Mainly because their power circuit is simple to build. The main objective of this work is the evaluation by simulation under Simscape of the performance of Faulhaber permanent magnet DC micromotor and the study of its characteristics. Simulation results on MATLAB/Simscape software showed that a Simscape test bench is ultra-efficient for the study of electric drives. Students of engineering schools are thus prepared for the latest developments and real industrial requirements. ]]>Characterization of the Direct Current Micromotor by Simscapeghlam karimaoukli mimounadoi: 10.56578/jisc020105Journal of Intelligent Systems and Control03-30-2023Journal of Intelligent Systems and Control03-30-2023202321Article4710.56578/jisc020105https://www.acadlore.com/article/JISC/2023_2_1/jisc020105Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 1, Pages undefined: Adaptive Neuro-Fuzzy Inference System Based on Sliding Mode Control for Quadcopter Trajectory Tracking with the Presence of External Disturbance
https://www.acadlore.com/article/JISC/2023_2_1/jisc020104
Objective of this study is to develop a novel, effective, and robust Sliding Mode Control (SMC) method for quadcopters (also called quadrotors) based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for the purposes of enhancing trajectory tracking performance and realizing safe and reliable flight. In the paper, the ANFIS was combined with SMC technology to propose a scheme of adaptive robust controller, which is composed of three sub-controllers, x position controller, y position controller, and z position (altitude) controller. The proposed method can realize position tracking control of quadcopters in the presence of external disturbances. With the help of ANFIS, an adjustable gain rather than a fixed gain was established for the SMC controller, the optimal output could be attained based on a set of rules, and the position control gain was updated by ANFIS, enabling the SMC to adapt to environmental changes. Through modelling, simulation and comparison, experimental data verified that the proposed ANFIS-SMC controller outperformed conventional SMC controller in terms of convergence speed, robustness, accuracy, and stability with a maximum mean error of 0.125 meters in trajectory tracking. Research findings of this paper could contribute to the development of robust and responsive control strategies for Unmanned aerial vehicles (UAVs) trajectory tracking by providing valuable insights into the design of more effective and efficient control systems for UAVs, particularly in the context of dynamic environmental conditions.03-30-2023<![CDATA[ <p>Objective of this study is to develop a novel, effective, and robust Sliding Mode Control (SMC) method for quadcopters (also called quadrotors) based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for the purposes of enhancing trajectory tracking performance and realizing safe and reliable flight. In the paper, the ANFIS was combined with SMC technology to propose a scheme of adaptive robust controller, which is composed of three sub-controllers, x position controller, y position controller, and z position (altitude) controller. The proposed method can realize position tracking control of quadcopters in the presence of external disturbances. With the help of ANFIS, an adjustable gain rather than a fixed gain was established for the SMC controller, the optimal output could be attained based on a set of rules, and the position control gain was updated by ANFIS, enabling the SMC to adapt to environmental changes. Through modelling, simulation and comparison, experimental data verified that the proposed ANFIS-SMC controller outperformed conventional SMC controller in terms of convergence speed, robustness, accuracy, and stability with a maximum mean error of 0.125 meters in trajectory tracking. Research findings of this paper could contribute to the development of robust and responsive control strategies for Unmanned aerial vehicles (UAVs) trajectory tracking by providing valuable insights into the design of more effective and efficient control systems for UAVs, particularly in the context of dynamic environmental conditions.</p> ]]>Adaptive Neuro-Fuzzy Inference System Based on Sliding Mode Control for Quadcopter Trajectory Tracking with the Presence of External Disturbancepurwadi agus darwitonor indayudoi: 10.56578/jisc020104Journal of Intelligent Systems and Control03-30-2023Journal of Intelligent Systems and Control03-30-2023202321Article3310.56578/jisc020104https://www.acadlore.com/article/JISC/2023_2_1/jisc020104Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 1, Pages undefined: A Vector Equation Method for Analyzing Kinematics and Kinetostatics of Toggle-Type Transmission Mechanism
https://www.acadlore.com/article/JISC/2023_2_1/jisc020103
With the help of vector equations and MATLAB software, this paper studied the kinematics and kinetostatics of toggle-type transmission mechanism (hereinafter referred to as “toggle mechanism” for short) and attained the analytical expressions of displacement, speed, and acceleration of slider punch, and the force and moment balance equations of each component in the toggle mechanism with their inertia force taken into consideration. Then, the toggle mechanism was compared with conventional crank-link mechanism and their kinematic characteristics were comparatively analyzed. The proposed kinematics analysis method of toggle mechanism could figure out the kinematic characteristics of the target mechanism and reveal its operating advantages on the basis that its functional requirements are met, in this way, the research purpose of optimizing the design of the mechanism could be realized, and the attained conclusions could provide useful evidence for the design of other types of transmission mechanisms.03-30-2023<![CDATA[ With the help of vector equations and MATLAB software, this paper studied the kinematics and kinetostatics of toggle-type transmission mechanism (hereinafter referred to as “toggle mechanism” for short) and attained the analytical expressions of displacement, speed, and acceleration of slider punch, and the force and moment balance equations of each component in the toggle mechanism with their inertia force taken into consideration. Then, the toggle mechanism was compared with conventional crank-link mechanism and their kinematic characteristics were comparatively analyzed. The proposed kinematics analysis method of toggle mechanism could figure out the kinematic characteristics of the target mechanism and reveal its operating advantages on the basis that its functional requirements are met, in this way, the research purpose of optimizing the design of the mechanism could be realized, and the attained conclusions could provide useful evidence for the design of other types of transmission mechanisms. ]]>A Vector Equation Method for Analyzing Kinematics and Kinetostatics of Toggle-Type Transmission Mechanismbing yangdoi: 10.56578/jisc020103Journal of Intelligent Systems and Control03-30-2023Journal of Intelligent Systems and Control03-30-2023202321Article2310.56578/jisc020103https://www.acadlore.com/article/JISC/2023_2_1/jisc020103Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 1, Pages undefined: Efficiency Improvement of Induction Motors Based on Rotor Slot and Tooth Structures
https://www.acadlore.com/article/JISC/2023_2_1/jisc020102
Due to simple structure, easy maintenance and low cost, induction motors (IMs) are widely applied in various industries, accounting for 60-80% alternating current (AC) motors used in industry. However, the efficiency of IMs is very low, and even small improvement can result in significant energy saving. For instance, 1% efficiency increase saves billions of kilowatt hours. Therefore, this paper aimed to improve the efficiency of IMs, thus reducing energy consumption and greenhouse gas emissions. For an IM with 7.5kW rated power and IE3 energy efficiency, the efficiency is improved by making various changes. Sequential quadratic algorithm and fmincon function are proposed to change the rotor slot and teeth structures, realizing nearly 91% motor efficiency, which is a significant improvement over the original efficiency. It is worth noting that improving the efficiency of IMs saves a lot of energy, especially in cases where IMs account for a large proportion of AC motors.03-28-2023<![CDATA[ <p>Due to simple structure, easy maintenance and low cost, induction motors (IMs) are widely applied in various industries, accounting for 60-80% alternating current (AC) motors used in industry. However, the efficiency of IMs is very low, and even small improvement can result in significant energy saving. For instance, 1% efficiency increase saves billions of kilowatt hours. Therefore, this paper aimed to improve the efficiency of IMs, thus reducing energy consumption and greenhouse gas emissions. For an IM with 7.5kW rated power and IE3 energy efficiency, the efficiency is improved by making various changes. Sequential quadratic algorithm and fmincon function are proposed to change the rotor slot and teeth structures, realizing nearly 91% motor efficiency, which is a significant improvement over the original efficiency. It is worth noting that improving the efficiency of IMs saves a lot of energy, especially in cases where IMs account for a large proportion of AC motors.</p> ]]>Efficiency Improvement of Induction Motors Based on Rotor Slot and Tooth Structureshung bui ducchi-phi domanh doan congvuong dang quocdoi: 10.56578/jisc020102Journal of Intelligent Systems and Control03-28-2023Journal of Intelligent Systems and Control03-28-2023202321Article1310.56578/jisc020102https://www.acadlore.com/article/JISC/2023_2_1/jisc020102Journal of Intelligent Systems and Control, 2023, Volume 2, Issue 1, Pages undefined: Design and Implementation of Hybrid Controller for Dynamic Power Management in a DC Microgrid
https://www.acadlore.com/article/JISC/2023_2_1/jisc020101
Nowadays more and more devices and appliances are operated with electricity, thus the electrical crisis is increasing exponentially day by day. In order to avoid the occurrence of electricity crisis, various power generation resources are used at the utility side to enhance the power generation to meet the consumers’ demand for electricity. Hence, a suitable control scheme has to be implemented at the microgrid to reduce the electrical fluctuation, power loss and manage the power quality. The Adaptive Proportional Integral Voltage Controller (APIVC) and hysteresis current controller (HCC) are integrated to enhance the quality of power generated. The electrical fluctuation is reduced by the proposed efficient hybrid parallel source controller model for DC Microgrid. The proposed model exerts decentralized control, which is an advanced droop control where communication is not required. The outer voltage control loop and inner current control loop provide faster control to maintain the grid voltage constant. The grid voltage is set as the reference value and the actual value is sensed to generate error value, which sets the reference value of current. The error signal is processed to provide switching signals for the converters. The performance analysis and simulation results show that the proposed mechanism performed better than the conventional methods such as Hysteresis Band Current Controller (HBCC) with Pulse Width Modulation (PWM) and Proportional Integral Voltage Controller (PIVC) with Hysteresis Current Controller (HCC), in terms of the electrical fluctuation, power loss and manage the power quality in the microgrid.03-28-2023<![CDATA[ <p>Nowadays more and more devices and appliances are operated with electricity, thus the electrical crisis is increasing exponentially day by day. In order to avoid the occurrence of electricity crisis, various power generation resources are used at the utility side to enhance the power generation to meet the consumers’ demand for electricity. Hence, a suitable control scheme has to be implemented at the microgrid to reduce the electrical fluctuation, power loss and manage the power quality. The Adaptive Proportional Integral Voltage Controller (APIVC) and hysteresis current controller (HCC) are integrated to enhance the quality of power generated. The electrical fluctuation is reduced by the proposed efficient hybrid parallel source controller model for DC Microgrid. The proposed model exerts decentralized control, which is an advanced droop control where communication is not required. The outer voltage control loop and inner current control loop provide faster control to maintain the grid voltage constant. The grid voltage is set as the reference value and the actual value is sensed to generate error value, which sets the reference value of current. The error signal is processed to provide switching signals for the converters. The performance analysis and simulation results show that the proposed mechanism performed better than the conventional methods such as Hysteresis Band Current Controller (HBCC) with Pulse Width Modulation (PWM) and Proportional Integral Voltage Controller (PIVC) with Hysteresis Current Controller (HCC), in terms of the electrical fluctuation, power loss and manage the power quality in the microgrid.</p> ]]>Design and Implementation of Hybrid Controller for Dynamic Power Management in a DC Microgridsharmila nagarajunataraj kanathur ramaswamyrekha kanathur ramaswamydoi: 10.56578/jisc020101Journal of Intelligent Systems and Control03-28-2023Journal of Intelligent Systems and Control03-28-2023202321Article110.56578/jisc020101https://www.acadlore.com/article/JISC/2023_2_1/jisc020101Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: System Identification and Control of Automatic Car Pedal Pressing System
https://www.acadlore.com/article/JISC/2022_1_1/jisc010108
This paper mainly explores the system identification and control of an automatic car pedal pressing system. Specifically, the system identification was achieved using an artificial neural network, with the help of MATLAB’s System Identification Toolbox. The proportional-integral-derivative (PID) controller and fuzzy logic controller were designed, and normalized with membership functions. These functions were scaled with a gain as a scaling factor. The controller gains were tuned by a metaheuristic algorithm named particle swarm optimization (PSO). On this basis, the two controllers were compared with a number of performance indices, including integral squared error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), and mean squared error (MSE). The car pedal pressing performance was measured at different speed levels for each controller.10-29-2022<![CDATA[ <p>This paper mainly explores the system identification and control of an automatic car pedal pressing system. Specifically, the system identification was achieved using an artificial neural network, with the help of MATLAB’s System Identification Toolbox. The proportional-integral-derivative (PID) controller and fuzzy logic controller were designed, and normalized with membership functions. These functions were scaled with a gain as a scaling factor. The controller gains were tuned by a metaheuristic algorithm named particle swarm optimization (PSO). On this basis, the two controllers were compared with a number of performance indices, including integral squared error (ISE), integral absolute error (IAE), integral time absolute error (ITAE), and mean squared error (MSE). The car pedal pressing performance was measured at different speed levels for each controller.</p> ]]>System Identification and Control of Automatic Car Pedal Pressing Systemlai chong jinazrul azim abdullah hashimsalmiah ahmadnor maniha abdul ghanidoi: 10.56578/jisc010108Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article7910.56578/jisc010108https://www.acadlore.com/article/JISC/2022_1_1/jisc010108Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: An Efficient Reconfigurable Cryptographic Model for Dynamic and Secure Unstructured Data Sharing in Multi-Cloud Storage Server
https://www.acadlore.com/article/JISC/2022_1_1/jisc010107
This study designs a reconfigurable multi-cloud storage server architecture for dynamic and secure data sharing has been designed, improves the security of unstructured data using cryptographic index-based data slicing (CIBDS), and reduces the malicious insider through data encryption using a third data encryption algorithm (3DEA). Focusing on multi-cloud storage server (MCSS) and data life cycle which includes three stages (i.e., data input, transition and utilization), the authors determined the efficiency of reconfigurable data file slicing, standard format, privacy and trustworthiness of the customers, in contrast to existing methods. Every part of a data file was encrypted using 3DEA, and Rivest Shamir Adleman (RSA) was employed to produce the private key to secure the unstructured data. The results show that the proposed framework effectively searches the data files in MCSS based on tags, such as input file names and private keys. The performance of the framework was measured by the security level, uploading/downloading latency time between our method and conventional methods, under different data sizes in (MB). Overall, our method reduces the malicious insider to 0.23% using 3DEA and RSA, during data encryption in the existing USDS-MC, shortens the uploading/downloading latency time (s) by 10% and 12%, compared to USDS-MC, and enhances the unstructured data security by 12% in comparison with that method. In this way, the authors managed to improve the self-protection of reconfigurable and secure unstructured data files in huge cloud infrastructure. This research optimizes the data security and privacy of encryption, decryption and cryptography technologies, and helps with the online process and its security maintenance during cloud storage.10-29-2022<![CDATA[ <p>This study designs a reconfigurable multi-cloud storage server architecture for dynamic and secure data sharing has been designed, improves the security of unstructured data using cryptographic index-based data slicing (CIBDS), and reduces the malicious insider through data encryption using a third data encryption algorithm (3DEA). Focusing on multi-cloud storage server (MCSS) and data life cycle which includes three stages (i.e., data input, transition and utilization), the authors determined the efficiency of reconfigurable data file slicing, standard format, privacy and trustworthiness of the customers, in contrast to existing methods. Every part of a data file was encrypted using 3DEA, and Rivest Shamir Adleman (RSA) was employed to produce the private key to secure the unstructured data. The results show that the proposed framework effectively searches the data files in MCSS based on tags, such as input file names and private keys. The performance of the framework was measured by the security level, uploading/downloading latency time between our method and conventional methods, under different data sizes in (MB). Overall, our method reduces the malicious insider to 0.23% using 3DEA and RSA, during data encryption in the existing USDS-MC, shortens the uploading/downloading latency time (s) by 10% and 12%, compared to USDS-MC, and enhances the unstructured data security by 12% in comparison with that method. In this way, the authors managed to improve the self-protection of reconfigurable and secure unstructured data files in huge cloud infrastructure. This research optimizes the data security and privacy of encryption, decryption and cryptography technologies, and helps with the online process and its security maintenance during cloud storage.</p> ]]>An Efficient Reconfigurable Cryptographic Model for Dynamic and Secure Unstructured Data Sharing in Multi-Cloud Storage Serverparashiva murthy basavanapura muddumadappasumithra devi kengeri anjanappamallikarjunaswamy srikantaswamydoi: 10.56578/jisc010107Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article6810.56578/jisc010107https://www.acadlore.com/article/JISC/2022_1_1/jisc010107Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Continuation Power Flow Analysis of Power System Voltage Stability with Unified Power Flow Controller
https://www.acadlore.com/article/JISC/2022_1_1/jisc010106
The rising power demand has forced power systems all over the world to operate very close to their stability limits. When power systems are overloaded, faulty, or in lack of reactive power, voltage collapses would ensue. The capacity of a power system to keep the voltage of every bus constant under disturbances is called voltage stability. This dynamic phenomenon hinges on the load features. It is commonly known that flexible AC transmission systems (FACTS) can improve voltage stability. This paper puts forward a load flow model with the unified power flow controller (UPFC), and relies on the model to investigate the voltage stability of a power system through continuation power flow (CPF) method. The validity of the model was verified through a simulation, using the power system analysis toolbox (PSAT) in MATLAB/Simulink environment.10-29-2022<![CDATA[ <p>The rising power demand has forced power systems all over the world to operate very close to their stability limits. When power systems are overloaded, faulty, or in lack of reactive power, voltage collapses would ensue. The capacity of a power system to keep the voltage of every bus constant under disturbances is called voltage stability. This dynamic phenomenon hinges on the load features. It is commonly known that flexible AC transmission systems (FACTS) can improve voltage stability. This paper puts forward a load flow model with the unified power flow controller (UPFC), and relies on the model to investigate the voltage stability of a power system through continuation power flow (CPF) method. The validity of the model was verified through a simulation, using the power system analysis toolbox (PSAT) in MATLAB/Simulink environment.</p> ]]>Continuation Power Flow Analysis of Power System Voltage Stability with Unified Power Flow Controlleryoucef islam djilani kobibimohamed abdeldjalil djehafmohamed khatirmohamed ouadafraksoudoi: 10.56578/jisc010106Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article6010.56578/jisc010106https://www.acadlore.com/article/JISC/2022_1_1/jisc010106Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Active Disturbance Rejection Control Approach for Double Pendulum Cranes with Variable Rope Lengths
https://www.acadlore.com/article/JISC/2022_1_1/jisc010105
The overhead crane is a typical underactuated system with complicated dynamics and strong couplings. It is widely employed to transport heavy cargoes in many industrial fields. Due to the complexity of working environments, however, cranes often encounter various unfavorable factors, which may degrade the transportation efficiency. To enhance control performance and anti-disturbance ability, this paper proposes an active disturbance rejection control approach based on differential flatness for double pendulum cranes with variable rope lengths. The proposed approach can position the trolley accurately, regulate rope length, and suppress the swing angles of the payload and the hook simultaneously. During the controller design, flat outputs were constructed based on differential flatness technique to deal with system couplings, and the results prove that double pendulum crane system is differentially flat. After that, model uncertainties and external disturbances were estimated by the designed extended state observer. On this basis, a controller was developed based on the feedback control technique. Finally, a series of simulations were carried out to show that the control scheme is effective and robust.10-29-2022<![CDATA[ <p>The overhead crane is a typical underactuated system with complicated dynamics and strong couplings. It is widely employed to transport heavy cargoes in many industrial fields. Due to the complexity of working environments, however, cranes often encounter various unfavorable factors, which may degrade the transportation efficiency. To enhance control performance and anti-disturbance ability, this paper proposes an active disturbance rejection control approach based on differential flatness for double pendulum cranes with variable rope lengths. The proposed approach can position the trolley accurately, regulate rope length, and suppress the swing angles of the payload and the hook simultaneously. During the controller design, flat outputs were constructed based on differential flatness technique to deal with system couplings, and the results prove that double pendulum crane system is differentially flat. After that, model uncertainties and external disturbances were estimated by the designed extended state observer. On this basis, a controller was developed based on the feedback control technique. Finally, a series of simulations were carried out to show that the control scheme is effective and robust.</p> ]]>Active Disturbance Rejection Control Approach for Double Pendulum Cranes with Variable Rope Lengthsxinya yaohe chenzhenyue fandoi: 10.56578/jisc010105Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article4610.56578/jisc010105https://www.acadlore.com/article/JISC/2022_1_1/jisc010105Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Hybrid Approach Control of Micro-Positioning Stage with a Piezoelectric Actuator
https://www.acadlore.com/article/JISC/2022_1_1/jisc010104
For a class of system with nonlinear hysteresis, this paper presents an adaptive hybrid controller based on the hybrid backstepping-sliding mode, and describes the controller analytically by the LuGre model. Both backstepping and the sliding mode techniques are based on the Lyapunov theory. Drawing on this common point, the authors developed a new controller combining the two control techniques with a recursive design. The design aims to achieve two effects: assuring the stability of the closed loop system, and improving the continuous performance of the tracking position trajectory. The performance of the proposed hybrid controller was verified by implementing the identified Piezo model. The results show that our controller can track the system output desirably with the reference trajectory.10-29-2022<![CDATA[ <p>For a class of system with nonlinear hysteresis, this paper presents an adaptive hybrid controller based on the hybrid backstepping-sliding mode, and describes the controller analytically by the LuGre model. Both backstepping and the sliding mode techniques are based on the Lyapunov theory. Drawing on this common point, the authors developed a new controller combining the two control techniques with a recursive design. The design aims to achieve two effects: assuring the stability of the closed loop system, and improving the continuous performance of the tracking position trajectory. The performance of the proposed hybrid controller was verified by implementing the identified Piezo model. The results show that our controller can track the system output desirably with the reference trajectory.</p> ]]>Hybrid Approach Control of Micro-Positioning Stage with a Piezoelectric Actuatorounissi amorazeddine kaddourirachid abdessemeddoi: 10.56578/jisc010104Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article3510.56578/jisc010104https://www.acadlore.com/article/JISC/2022_1_1/jisc010104Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Modeling and Control Strategy of Wind-Solar Hydrogen Storage Coupled Power Generation System
https://www.acadlore.com/article/JISC/2022_1_1/jisc010103
Hydrogen production by wind and solar hybrid power generation is an important means to solve the strong randomness and high volatility of wind and solar power generation. In this paper, the permanent magnet direct-drive wind turbine, photovoltaic power generation unit, battery pack, and electrolyzer are assembled in the AC bus, and the mathematical model of the wind-solar hydrogen storage coupled power generation system and the simulation model in PSCAD/EMTDC are established. An energy coordination control strategy is designed. After simulation, the proposed control strategy can effectively reduce the rate of curtailment of wind and solar power, and stabilize the fluctuation of wind and solar power generation. It verifies that the established model is correct and the control strategy is effective and feasible.10-29-2022<![CDATA[ <p>Hydrogen production by wind and solar hybrid power generation is an important means to solve the strong randomness and high volatility of wind and solar power generation. In this paper, the permanent magnet direct-drive wind turbine, photovoltaic power generation unit, battery pack, and electrolyzer are assembled in the AC bus, and the mathematical model of the wind-solar hydrogen storage coupled power generation system and the simulation model in PSCAD/EMTDC are established. An energy coordination control strategy is designed. After simulation, the proposed control strategy can effectively reduce the rate of curtailment of wind and solar power, and stabilize the fluctuation of wind and solar power generation. It verifies that the established model is correct and the control strategy is effective and feasible.</p> ]]>Modeling and Control Strategy of Wind-Solar Hydrogen Storage Coupled Power Generation Systemtianze yuanhua lidong jiadoi: 10.56578/jisc010103Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article1810.56578/jisc010103https://www.acadlore.com/article/JISC/2022_1_1/jisc010103Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Optimization of Lateral Transfer Inventory of Auto Spare Parts Based on Neural Network Forecasting
https://www.acadlore.com/article/JISC/2022_1_1/jisc010102
Creating a fair replenishment strategy is one of the most significant instruments in the inventory management for automotive spare parts. It is also crucial to controlling the enterprise's inventory level. This study considers the significance of retailers' demand forecasting at the conclusion of the sales period to build a lateral transfer inventory optimization scheme with high scientific rigor, aiming to ensure the correctness and logic of the replenishment strategy. To provide a more scientific direction for the inventory management of an automotive spare parts company, this research constructs an upgraded particle swarm optimization (PSO)-backpropagation (BP) neural network prediction model, and a lateral transfer inventory optimization method based on demand forecasting. Finally, 26 retailers of Company B in Central China's Hunan Province were taken as examples to confirm the model's efficacy. The outcomes demonstrate an improvement in the lateral transfer's applicability in Company B.10-29-2022<![CDATA[ <p>Creating a fair replenishment strategy is one of the most significant instruments in the inventory management for automotive spare parts. It is also crucial to controlling the enterprise's inventory level. This study considers the significance of retailers' demand forecasting at the conclusion of the sales period to build a lateral transfer inventory optimization scheme with high scientific rigor, aiming to ensure the correctness and logic of the replenishment strategy. To provide a more scientific direction for the inventory management of an automotive spare parts company, this research constructs an upgraded particle swarm optimization (PSO)-backpropagation (BP) neural network prediction model, and a lateral transfer inventory optimization method based on demand forecasting. Finally, 26 retailers of Company B in Central China's Hunan Province were taken as examples to confirm the model's efficacy. The outcomes demonstrate an improvement in the lateral transfer's applicability in Company B.</p> ]]>Optimization of Lateral Transfer Inventory of Auto Spare Parts Based on Neural Network Forecastingxinhao shaodaofang changmeijia lidoi: 10.56578/jisc010102Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article210.56578/jisc010102https://www.acadlore.com/article/JISC/2022_1_1/jisc010102Journal of Intelligent Systems and Control, 2022, Volume 1, Issue 1, Pages undefined: Editorial to the Inaugural Issue
https://www.acadlore.com/article/JISC/2022_1_1/jisc010101
10-29-2022<![CDATA[ ]]>Editorial to the Inaugural Issuehe chendoi: 10.56578/jisc010101Journal of Intelligent Systems and Control10-29-2022Journal of Intelligent Systems and Control10-29-2022202211Article110.56578/jisc010101https://www.acadlore.com/article/JISC/2022_1_1/jisc010101