Classical and metaheuristic optimizations performance in an electro-hydraulic control system
Electro-Hydraulic Actuator (EHA) system is a prevalent mechanism in industrial sectors. This system commonly involving works that required high force such as steel, automotive and aerospace industries. It is a challenging task to acquire precision when dealing with a system that can produce high for...
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International Journal of Mechanical Engineering and Robotics Research
2022
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my.utem.eprints.264112023-03-28T13:07:39Z http://eprints.utem.edu.my/id/eprint/26411/ Classical and metaheuristic optimizations performance in an electro-hydraulic control system Chong, Chee Soon Ghazali, Rozaimi Chong, Shin Horng Ghani, Muhammad Fadli Md. Sam, Yahaya Has, Zulfatman Electro-Hydraulic Actuator (EHA) system is a prevalent mechanism in industrial sectors. This system commonly involving works that required high force such as steel, automotive and aerospace industries. It is a challenging task to acquire precision when dealing with a system that can produce high force. Besides, since most of the mechanical actuator performance varies with time, it is even difficult to ensure its robustness characteristic towards time. Therefore, this paper proposed the industrial’s wellknown controller, which is the Proportional-Integral-Derivative (PID) controller that can improve the precision of the EHA system. Then, an enhanced PID controller, which is the fractional order PID (FOPID) controller will be applied. A classical and metaheuristic optimization methods, which are gradient descent (GD) and particle swarm optimization (PSO) algorithm are used to obtaining the optimal gains of both controllers. In addition, to examine the tracking performance of the designed controllers, the performance of the proposed optimization algorithms is analysed. As a result, in a practical point of view, it can be inferred that the PSO algorithm is capable to generate more practical sense of gains compared with GD, and the precision characteristic of the FOPID is greater than the PID controller. International Journal of Mechanical Engineering and Robotics Research 2022-03 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26411/3/20220301%20-%20IJMERR.PDF Chong, Chee Soon and Ghazali, Rozaimi and Chong, Shin Horng and Ghani, Muhammad Fadli and Md. Sam, Yahaya and Has, Zulfatman (2022) Classical and metaheuristic optimizations performance in an electro-hydraulic control system. International Journal of Mechanical Engineering and Robotics Research, 11 (3). pp. 192-197. ISSN 2278-0149 http://www.ijmerr.com/index.php?m=content&c=index&a=show&catid=207&id=1715 10.18178/ijmerr.11.3.192-197 |
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Electro-Hydraulic Actuator (EHA) system is a prevalent mechanism in industrial sectors. This system commonly involving works that required high force such as steel, automotive and aerospace industries. It is a challenging task to acquire precision when dealing with a system that can produce high force. Besides, since most of the mechanical actuator performance varies with time, it is even difficult to ensure its robustness characteristic towards time. Therefore, this paper proposed the industrial’s wellknown controller, which is the Proportional-Integral-Derivative (PID) controller that can improve the precision of the EHA system. Then, an enhanced PID controller, which is the fractional order PID (FOPID) controller will be applied. A classical and metaheuristic optimization methods, which are gradient descent (GD) and particle swarm optimization (PSO) algorithm are used to obtaining the optimal gains of both controllers. In addition, to examine the tracking performance of the designed controllers, the performance of the proposed optimization algorithms is analysed. As a result, in a practical point of view, it can be inferred that the PSO algorithm is capable to generate more practical sense of gains compared with GD, and the precision characteristic of the FOPID is greater than the PID controller. |
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Article |
author |
Chong, Chee Soon Ghazali, Rozaimi Chong, Shin Horng Ghani, Muhammad Fadli Md. Sam, Yahaya Has, Zulfatman |
spellingShingle |
Chong, Chee Soon Ghazali, Rozaimi Chong, Shin Horng Ghani, Muhammad Fadli Md. Sam, Yahaya Has, Zulfatman Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
author_facet |
Chong, Chee Soon Ghazali, Rozaimi Chong, Shin Horng Ghani, Muhammad Fadli Md. Sam, Yahaya Has, Zulfatman |
author_sort |
Chong, Chee Soon |
title |
Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
title_short |
Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
title_full |
Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
title_fullStr |
Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
title_full_unstemmed |
Classical and metaheuristic optimizations performance in an electro-hydraulic control system |
title_sort |
classical and metaheuristic optimizations performance in an electro-hydraulic control system |
publisher |
International Journal of Mechanical Engineering and Robotics Research |
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2022 |
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http://eprints.utem.edu.my/id/eprint/26411/3/20220301%20-%20IJMERR.PDF http://eprints.utem.edu.my/id/eprint/26411/ http://www.ijmerr.com/index.php?m=content&c=index&a=show&catid=207&id=1715 |
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13.18916 |