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 eff...

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Main Authors: Abdullah Hashim, Azrul Azim, Abdul Ghani, Nor Maniha, Ahmad, Salmiah, Nasir, Ahmad Nor Kasruddin
Format: Article
Language:English
Published: ARQII Publication 2024
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Online Access:http://irep.iium.edu.my/113925/7/113925_%20System%20identification%20and%20control.pdf
http://irep.iium.edu.my/113925/
https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/620
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Institution: Universiti Islam Antarabangsa Malaysia
Language: English
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spelling my.iium.irep.1139252024-08-15T05:42:47Z http://irep.iium.edu.my/113925/ System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach Abdullah Hashim, Azrul Azim Abdul Ghani, Nor Maniha Ahmad, Salmiah Nasir, Ahmad Nor Kasruddin TJ212 Control 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 application/pdf en http://irep.iium.edu.my/113925/7/113925_%20System%20identification%20and%20control.pdf Abdullah Hashim, Azrul Azim and Abdul Ghani, Nor Maniha and Ahmad, Salmiah and Nasir, Ahmad Nor Kasruddin (2024) System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach. Applications of Modelling and Simulation, 8. pp. 213-224. E-ISSN 2600-8084 https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/620
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TJ212 Control engineering
spellingShingle TJ212 Control engineering
Abdullah Hashim, Azrul Azim
Abdul Ghani, Nor Maniha
Ahmad, Salmiah
Nasir, Ahmad Nor Kasruddin
System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach
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.
format Article
author Abdullah Hashim, Azrul Azim
Abdul Ghani, Nor Maniha
Ahmad, Salmiah
Nasir, Ahmad Nor Kasruddin
author_facet Abdullah Hashim, Azrul Azim
Abdul Ghani, Nor Maniha
Ahmad, Salmiah
Nasir, Ahmad Nor Kasruddin
author_sort Abdullah Hashim, Azrul Azim
title 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_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_sort system identification and control of linear electromechanical actuator using pi controller based metaheuristic approach
publisher ARQII Publication
publishDate 2024
url http://irep.iium.edu.my/113925/7/113925_%20System%20identification%20and%20control.pdf
http://irep.iium.edu.my/113925/
https://arqiipubl.com/ojs/index.php/AMS_Journal/article/view/620
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