Optimization Techniques In PID Controller On A Nonlinear Electro-Hydraulic Actuator System

Ghazali, Rozaimi and Chai, Mau Shern and Chong, Shin Horng and Chong, Chee Soon and Jaafar, Hazriq Izzuan (2019) Optimization Techniques In PID Controller On A Nonlinear Electro-Hydraulic Actuator System. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 56 (2). pp. 296-303. ISSN 2289-7879

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Abstract

The controller is an important component in the nonlinear control system, especially for the system that needs accuracy in position tracking. Electro-Hydraulic Actuator (EHA) system i s a popular nonlinear system that is used by researchers. Proportional- Integral-Derivative (PID) controller is the most popular controller that is normally used in the industry. This i s mainly because of i ts simplicity in the design process. However, there are three constants that need to be assigned in the PID controller, often we called thi s as the parameters s election process or the PID tuning process. In this paper, a comparison s tudy for the selection process of the PID parameters process will be conducted among Ziegler-Nichols tuning method, conventional Particle Swarm Optimization (PSO) technique and Priority-based Fitness Particle Swarm Optimization (PFPSO) technique. PFPSO is one of the improved versions of the conventional PSO technique. The s imulation study wi ll be conducted on a nonlinear Electro-Hydraulic Actuator (EHA) system. A simple robustness test on the PID controller will be evaluated in terms of actuator internal leakage. Results showed that the PID performed better whe n its controller's parameters are selected using PFPSO technique rather than the Ziegler-Nichols method and conventional PSO technique.

Item Type:	Article
Uncontrolled Keywords:	Electro-hydraulic actuator system, Particle swarm optimization, Ziegler-nichols tuning method, PID controller, Electro-hydraulic Actuator system
Divisions:	Faculty of Electrical Engineering
Depositing User:	Sabariah Ismail
Date Deposited:	30 Jul 2020 08:45
Last Modified:	21 Feb 2022 11:43
URI:	http://eprints.utem.edu.my/id/eprint/24203
Statistic Details:	View Download Statistic

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