System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach
This study focuses on the crucial need for effective control strategies design for linear electromechanical actuators (EMA), which are essential components in industrial automation. While the PI controller is commonly used due to its simplicity and versatility in various control scenarios, its effec...
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| Format: | Article |
| Language: | English |
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Arqii Publication
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42166/1/System%20identification%20and%20control%20of%20linear%20electromechanical.pdf |
| _version_ | 1811138561325400064 |
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| author | Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Ahmad Nor Kasruddin, Nasir |
| author_facet | Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Ahmad Nor Kasruddin, Nasir |
| author_sort | Azrul Azim, Abdullah Hashim |
| collection | UMP |
| description | This study focuses on the crucial need for effective control strategies design for linear electromechanical actuators (EMA), which are essential components in industrial automation. While the PI controller is commonly used due to its simplicity and versatility in various control scenarios, its effectiveness is limited by its complex tuning process, which requires significant time and effort to achieve the optimal performance. To address this issue, the paper focuses on employing metaheuristic approaches that are Spiral Dynamic Algorithm (SDA) and Artificial Bee Colony (ABC) to fine tune the PI parameters for controlling the position of EMA. The simulation results, implemented in MATLAB Simulink, show that PI-SDA and PI-ABC produce better performances with minimal steady-state error, reduced overshoot, faster settling time and rise time. Hardware-in-the-loop (HIL) testing proves the effectiveness of the controller's performance in real-world scenarios. PI-SDA achieved a steady-state error of 0.0623, zero overshoot, faster rise time of 1.6956 s, and faster settling time of 7.2166 s. As for validation, PI-ABC showed similar results in HIL environment with a steady-state error of -0.0314, an overshoot of 5.0007%, a rise time of 1.3805 s, and a settling time of 9.1002 s. These results highlight the effectiveness of metaheuristic methods in real-world implementation and outperform the traditional heuristic approaches. |
| first_indexed | 2024-09-25T03:52:09Z |
| format | Article |
| id | UMPir42166 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-09-25T03:52:09Z |
| publishDate | 2024 |
| publisher | Arqii Publication |
| record_format | dspace |
| spelling | UMPir421662024-08-05T05:08:23Z http://umpir.ump.edu.my/id/eprint/42166/ System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Ahmad Nor Kasruddin, Nasir TK Electrical engineering. Electronics Nuclear engineering This study focuses on the crucial need for effective control strategies design for linear electromechanical actuators (EMA), which are essential components in industrial automation. While the PI controller is commonly used due to its simplicity and versatility in various control scenarios, its effectiveness is limited by its complex tuning process, which requires significant time and effort to achieve the optimal performance. To address this issue, the paper focuses on employing metaheuristic approaches that are Spiral Dynamic Algorithm (SDA) and Artificial Bee Colony (ABC) to fine tune the PI parameters for controlling the position of EMA. The simulation results, implemented in MATLAB Simulink, show that PI-SDA and PI-ABC produce better performances with minimal steady-state error, reduced overshoot, faster settling time and rise time. Hardware-in-the-loop (HIL) testing proves the effectiveness of the controller's performance in real-world scenarios. PI-SDA achieved a steady-state error of 0.0623, zero overshoot, faster rise time of 1.6956 s, and faster settling time of 7.2166 s. As for validation, PI-ABC showed similar results in HIL environment with a steady-state error of -0.0314, an overshoot of 5.0007%, a rise time of 1.3805 s, and a settling time of 9.1002 s. These results highlight the effectiveness of metaheuristic methods in real-world implementation and outperform the traditional heuristic approaches. Arqii Publication 2024-08-03 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/42166/1/System%20identification%20and%20control%20of%20linear%20electromechanical.pdf Azrul Azim, Abdullah Hashim and Nor Maniha, Abdul Ghani and Salmiah, Ahmad and Ahmad Nor Kasruddin, Nasir (2024) System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach. Applications of Modelling and Simulation, 8. pp. 213-224. ISSN 2600-8084. (Published) https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/620/189 https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/620/189 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Azrul Azim, Abdullah Hashim Nor Maniha, Abdul Ghani Salmiah, Ahmad Ahmad Nor Kasruddin, Nasir System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title | System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title_full | System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title_fullStr | System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title_full_unstemmed | System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title_short | System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach |
| title_sort | system identification and control of linear electromechanical actuator using pi controller based metaheuristic approach |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/42166/1/System%20identification%20and%20control%20of%20linear%20electromechanical.pdf |
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