System identification and control of linear electromechanical actuator using PI controller based metaheuristic approach

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

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Abstract

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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Artificial bee colony; Hardware-in-the-loop; Linear actuator; PI controller; Spiral dynamic algorithm.
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechanical Engineering Kulliyyah of Engineering
Depositing User:	Ir. Dr. Salmiah Ahmad
Date Deposited:	15 Aug 2024 13:42
Last Modified:	15 Aug 2024 13:42
URI:	http://irep.iium.edu.my/id/eprint/113925

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