Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique

Rozaimi, Ghazali (2016) Controller Parameter Optimization For An Electro-Hydraulic Actuator System Based On Particle Swarm Optimization Technique. Jurnal Teknologi, 78 (1). 101–108. ISSN 0127-9696

[img] Text
20160323_JT_Chong.pdf - Published Version
Restricted to Registered users only

Download (688kB)

Abstract

Motion control applications are widely applied in the industrial field with the assistance of electro-hydraulic actuator (EHA)system.EHA system is well known to be disclosed to the parameter variations,disturbances and uncertainties which are affected by the changes in the operating conditions such as friction,internal and external leakage.The complexity and nonlinear characteristic of the EHA system leads to a great challenge for controller development and system modelling.The performance of the utilized controller can be improved in order to achieve its best capability.In this paper,the basic knowledge in optimization of the proportional-integral-derivative (PID) controller through Gradient Descent (GD) and Particle Swarm Optimization (PSO)techniques are discussed.The PID parameters obtained through Ziegler-Nichols (ZN) tuning method has been optimized by using the GD method and is compared with PSO optimization technique via MATLAB/Simulink software.The findings show significant improvement in positioning tracking performance when the developed optimization technique is applied.Therefore,the issues degrading the EHA system performance have been reduced.

Item Type: Article
Uncontrolled Keywords: Electro-hydraulic actuator system; gradient descent optimization; particle swarm optimization; PID controller; position tracking
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical Engineering
Depositing User: Mohd. Nazir Taib
Date Deposited: 15 May 2018 05:03
Last Modified: 08 Jul 2021 21:07
URI: http://eprints.utem.edu.my/id/eprint/20822
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item