Most recent issue published online in the International Journal of Advanced Mechatronic Systems.
International Journal of Advanced Mechatronic Systems
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International Journal of Advanced Mechatronic Systems
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International Journal of Advanced Mechatronic Systems
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http://www.inderscience.com/browse/index.php?journalID=308&year=2024&vol=11&issue=1
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Model-free design in a dual-rate system using finite impulse response filter
http://www.inderscience.com/link.php?id=137564
In model matching design, the controller is determined by minimising the matching error between the reference model and the actual control system. Virtual reference feedback tuning (VRFT), a data-driven approach, uses a pre-filter to compensate for matching errors between model-based and data-driven functions. Designing the pre-filter in the time domain rather than the frequency domain allows the controller to be designed without limiting the types of initial process inputs. Conventional time-domain-based VRFT is designed as a single-rate method that is uniform over the entire period. When certain periods are limited by hardware performance or other factors, performance can be improved by setting the unrestricted period independently of the restricted period. In this study, time-domain-based VRFT is extended to a dual-rate system where the sampling period of the process output and the holding period of the process input are different. The control performance of the proposed dual-rate system is superior to that of the conventional single-rate system because the process input can be updated more frequently than in the single-rate system, even when the sampling period is limited by sensor performance or computational load.
Model-free design in a dual-rate system using finite impulse response filter
Takao Sato; Natsuki Kawaguchi
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 1 - 10
In model matching design, the controller is determined by minimising the matching error between the reference model and the actual control system. Virtual reference feedback tuning (VRFT), a data-driven approach, uses a pre-filter to compensate for matching errors between model-based and data-driven functions. Designing the pre-filter in the time domain rather than the frequency domain allows the controller to be designed without limiting the types of initial process inputs. Conventional time-domain-based VRFT is designed as a single-rate method that is uniform over the entire period. When certain periods are limited by hardware performance or other factors, performance can be improved by setting the unrestricted period independently of the restricted period. In this study, time-domain-based VRFT is extended to a dual-rate system where the sampling period of the process output and the holding period of the process input are different. The control performance of the proposed dual-rate system is superior to that of the conventional single-rate system because the process input can be updated more frequently than in the single-rate system, even when the sampling period is limited by sensor performance or computational load.]]>
10.1504/IJAMECHS.2024.137564
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 1 - 10
Takao Sato
Natsuki Kawaguchi
Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan ' Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan
model free
finite impulse response
FIR
holding period
sampling period
2024-03-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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TTower-345: a multi-categories multi-perspectives benchmark for automatic naming of transmission line inspection photos
http://www.inderscience.com/link.php?id=137554
Efficient naming of inspection photos of transmission line towers is vital in the maintenance of power grid equipment. Current inspection photo naming methods are mainly manual, which is neither rapid nor effective. Research on inspection photo naming is limited due to a shortage of inspection image datasets and low image resolution. Hence, we gathered inspection photos of real tangent towers using drones and created an inspection photo dataset TTower-345 for automatic naming model training purposes. We proposed an automatic naming model, IELC (improved EfficientNet network and LBP classification model), based on this dataset. IELC comprises a dual-branch structure that integrates a jointly improved EfficientNet model and an local binary patterns (LBP) classification model. Experimental results indicated that the proposed dataset contains more diverse inspection image features, which in turn helped the model learn more features. In our experiments, our proposed automatic naming method achieved a classification accuracy of over 95% and demonstrated reliability by exhibiting good generalisability in practical scenarios.
TTower-345: a multi-categories multi-perspectives benchmark for automatic naming of transmission line inspection photos
Jinqing Shen; Hong Ye; Chunjun Tang; Guoqin Zhang; Yan He; Min Xie
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 11 - 25
Efficient naming of inspection photos of transmission line towers is vital in the maintenance of power grid equipment. Current inspection photo naming methods are mainly manual, which is neither rapid nor effective. Research on inspection photo naming is limited due to a shortage of inspection image datasets and low image resolution. Hence, we gathered inspection photos of real tangent towers using drones and created an inspection photo dataset TTower-345 for automatic naming model training purposes. We proposed an automatic naming model, IELC (improved EfficientNet network and LBP classification model), based on this dataset. IELC comprises a dual-branch structure that integrates a jointly improved EfficientNet model and an local binary patterns (LBP) classification model. Experimental results indicated that the proposed dataset contains more diverse inspection image features, which in turn helped the model learn more features. In our experiments, our proposed automatic naming method achieved a classification accuracy of over 95% and demonstrated reliability by exhibiting good generalisability in practical scenarios.]]>
10.1504/IJAMECHS.2024.137554
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 11 - 25
Jinqing Shen
Hong Ye
Chunjun Tang
Guoqin Zhang
Yan He
Min Xie
Jinhua Bada Group Ltd., Jinhua, Zhejiang, China ' Jinhua Bada Group Ltd., Jinhua, Zhejiang, China ' Jinhua Power Supply Company of State Grid Zhejiang Electric Power Co., Jinhua, Zhejiang, China ' China Jiliang Uinversity, Hangzhou, China ' Jinhua Power Supply Company of State Grid Zhejiang Electric Power Co., Jinhua, Zhejiang, China ' China Jiliang University, Hangzhou, China
transmission lines
tangent towers
benchmark
inspection photo naming
EfficientNet model
local binary pattern
LBP classification
2024-03-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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Robust control for automatic voltage regulator system based on learning sliding mode control
http://www.inderscience.com/link.php?id=137556
The purpose of this study is to enhance the transient response of automatic voltage regulator (AVR) by implementing robust control strategies that optimise control parameters in a less complex manner compared to existing algorithms. The study focuses on evaluating the effectiveness of two sliding mode control (SMC) methods, namely conventional sliding mode control (CSMC) and learning sliding mode control (LSMC), and their superiority over the typical PID controller, which is better suited for the linear systems. Given the nonlinear nature of the AVR system due to external disturbances and uncertainty, SMC is deemed more appropriate. The study also utilised the Lyapunov equation to ensure stability and utilised tanh to eliminate the chattering problems and achieve a smoother control law. The findings reveal that LSMC offers improved response speed and reduced overshoot, and its learning aspect enables it to overcome external disturbances and uncertainty, making it more effective than CSMC.
Robust control for automatic voltage regulator system based on learning sliding mode control
Ali Ahmed Mahal; Abdal-Razak Shehab Hadi
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 26 - 39
The purpose of this study is to enhance the transient response of automatic voltage regulator (AVR) by implementing robust control strategies that optimise control parameters in a less complex manner compared to existing algorithms. The study focuses on evaluating the effectiveness of two sliding mode control (SMC) methods, namely conventional sliding mode control (CSMC) and learning sliding mode control (LSMC), and their superiority over the typical PID controller, which is better suited for the linear systems. Given the nonlinear nature of the AVR system due to external disturbances and uncertainty, SMC is deemed more appropriate. The study also utilised the Lyapunov equation to ensure stability and utilised tanh to eliminate the chattering problems and achieve a smoother control law. The findings reveal that LSMC offers improved response speed and reduced overshoot, and its learning aspect enables it to overcome external disturbances and uncertainty, making it more effective than CSMC.]]>
10.1504/IJAMECHS.2024.137556
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 26 - 39
Ali Ahmed Mahal
Abdal-Razak Shehab Hadi
Electronics and Communication Department, Faculty of Engineering, University of Kufa, Iraq ' Electrical Department, Faculty of Engineering, University of Kufa, Iraq
learning sliding mode control
LSMC
automatic voltage regulator
AVR
conventional sliding mode control
PID controller
SDO
chattering
MATLAB/Simulink
robust control
nonlinear system
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Copyright © 2024 Inderscience Enterprises Ltd.
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An echo state network-based feedforward feedback controller for application in dynamic systems control
http://www.inderscience.com/link.php?id=137559
This study explored the application reservoir computing, particularly echo state networks (ESNs), to control dynamic systems. The design method of a servo-level controller was proposed, where the ESN matches the objective plant output with the reference output. The ESN was combined with a feedback controller to obtain the control input of the plant. The ESN-based controller was first trained using a linear-regression approach with fixed datasets gathered from the objective plant. Thereafter, feedback error learning was performed during the control process in real-time to compensate for the control error due to the identification error of the plant's inverse transfer function. Computational experiments involving the control of a discrete-time nonlinear plant were conducted. The simulation results clarified the feasibility of the proposal and validated the performance of the ESN-based controller.
An echo state network-based feedforward feedback controller for application in dynamic systems control
Kazuhiko Takahashi; Naoyuki Kita; Miku Sasaki; Reika Kimura; Masafumi Hashimoto
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 40 - 49
This study explored the application reservoir computing, particularly echo state networks (ESNs), to control dynamic systems. The design method of a servo-level controller was proposed, where the ESN matches the objective plant output with the reference output. The ESN was combined with a feedback controller to obtain the control input of the plant. The ESN-based controller was first trained using a linear-regression approach with fixed datasets gathered from the objective plant. Thereafter, feedback error learning was performed during the control process in real-time to compensate for the control error due to the identification error of the plant's inverse transfer function. Computational experiments involving the control of a discrete-time nonlinear plant were conducted. The simulation results clarified the feasibility of the proposal and validated the performance of the ESN-based controller.]]>
10.1504/IJAMECHS.2024.137559
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 40 - 49
Kazuhiko Takahashi
Naoyuki Kita
Miku Sasaki
Reika Kimura
Masafumi Hashimoto
Faculty of Science and Engineering, Doshisha University, Kyoto, Japan ' Faculty of Science and Engineering, Doshisha University, Kyoto, Japan ' Faculty of Science and Engineering, Doshisha University, Kyoto, Japan ' Faculty of Science and Engineering, Doshisha University, Kyoto, Japan ' Faculty of Science and Engineering, Doshisha University, Kyoto, Japan
reservoir computing
echo state network
ESN
control system
feedforward feedback controller
2024-03-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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49
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Finding the optimal path in a 3D environment with predefined obstacles
http://www.inderscience.com/link.php?id=137560
Robotics has substantially improved people's daily lives, especially industrial production and manufacturing. An offline programming method is proposed for robot's path planning in a 3D environment with obstacles. The purpose of this method is to find the shortest 3D path between two or more points avoiding obstacles. Two types of paths are created: in the first type, the shortest path between the points is created based on their input order; in the second type, the shortest path that connects the input points is formed. It is accomplished by using a hybrid algorithm that combines the ant colony optimisation algorithm with a genetic algorithm called the roulette wheel method. The proposed method takes into consideration the robot's capabilities and the variability of different environments, so that it can be effectively applied to a multitude of cases. The method has been tested and applied to real world industrial robots successfully.
Finding the optimal path in a 3D environment with predefined obstacles
Gabriel Mansour; Ilias Chouridis; Apostolos Tsagaris
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 50 - 62
Robotics has substantially improved people's daily lives, especially industrial production and manufacturing. An offline programming method is proposed for robot's path planning in a 3D environment with obstacles. The purpose of this method is to find the shortest 3D path between two or more points avoiding obstacles. Two types of paths are created: in the first type, the shortest path between the points is created based on their input order; in the second type, the shortest path that connects the input points is formed. It is accomplished by using a hybrid algorithm that combines the ant colony optimisation algorithm with a genetic algorithm called the roulette wheel method. The proposed method takes into consideration the robot's capabilities and the variability of different environments, so that it can be effectively applied to a multitude of cases. The method has been tested and applied to real world industrial robots successfully.]]>
10.1504/IJAMECHS.2024.137560
International Journal of Advanced Mechatronic Systems, Vol. 11, No. 1 (2024) pp. 50 - 62
Gabriel Mansour
Ilias Chouridis
Apostolos Tsagaris
Department of Design and Structures, Polytechnic School of the Aristotle University of Thessaloniki, Thessaloniki, Greece ' Department of Industrial Engineering and Management, International Hellenic University, Thessaloniki, Greece ' Department of Industrial Engineering and Management, International Hellenic University, Thessaloniki, Greece
robotics
industrial robotics
hybrid algorithm
ant colony optimisation
genetic algorithm
offline programming
path planning
3D environment
industrial robot navigation
mechatronic system
2024-03-25T23:20:50-05:00
Copyright © 2024 Inderscience Enterprises Ltd.
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