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Classical and Metaheuristic Optimizations Performance in an Electro-Hydraulic Control System

Chong Chee Soon1, Rozaimi Ghazali1, Shin Horng Chong1, Muhammad Fadli Ghani2, Yahaya Md. Sam3, and Zulfatman Has4
1. Centre for Robotics and Industrial Automation, Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, Durian Tunggal, Melaka, Malaysia
2. Malaysian Institute of Marine Engineering Technology (MIMET), Universiti Kuala Lumpur, Lumut, Perak, Malaysia
3. Department of Control and Mechatronics Engineering, School of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia
4. Electrical Engineering Department, University of Muhammadiyah Malang, Malang, Indonesia

Abstract—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 well-known 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.
Index Terms—positioning tracking analysis, Electro-Hydraulic Actuator (EHA), robust control design, gradient descent optimization, particle swarm optimization

Cite: Chong Chee Soon, Rozaimi Ghazali, Shin Horng Chong, Muhammad Fadli Ghani, Yahaya Md. Sam, and Zulfatman Has, "Classical and Metaheuristic Optimizations Performance in an Electro-Hydraulic Control System," International Journal of Mechanical Engineering and Robotics Research, Vol. 11, No. 3, pp. 192-197, March 2022. DOI: 10.18178/ijmerr.11.3.192-197

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