Optimization of Sliding Mode Control using Particle Swarm Algorithm for an Electro-hydraulic Actuator System

Authors

  • C. C. Soon Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • R. Ghazali Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • H. I. Jaafar Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • S.Y. S.Hussien Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • S. M. Rozali Faculty of Engineering Technology, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.
  • M. Z. A. Rashid Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia.

Keywords:

Electro-hydraulic Actuator System, Particle Swarm Optimization, PID Controller, Positioning Tracking, Sliding Mode Control,

Abstract

The dynamic parts of electro-hydraulic actuator (EHA) system are widely applied in the industrial field for the process that exposed to the motion control. In order to achieve accurate motion produced by these dynamic parts, an appropriate controller will be needed. However, the EHA system is well known to be nonlinear in nature. A great challenge is carried out in the EHA system modelling and the controller development due to its nonlinear characteristic and system complexity. An appropriate controller with proper controller parameters will be needed in order to maintain or enhance the performance of the utilized controller. This paper presents the optimization on the variables of sliding mode control (SMC) by using Particle Swarm Optimization (PSO) algorithm. The control scheme is established from the derived dynamic equation which stability is proven through Lyapunov theorem. From the obtained simulation results, it can be clearly inferred that the SMC controller variables tuning through PSO algorithm performed better compared with the conventional proportionalintegral-derivative (PID) controller.

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Published

2016-10-01

How to Cite

Soon, C. C., Ghazali, R., Jaafar, H. I., S.Hussien, S., Rozali, S. M., & A. Rashid, M. Z. (2016). Optimization of Sliding Mode Control using Particle Swarm Algorithm for an Electro-hydraulic Actuator System. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(7), 71–76. Retrieved from https://jtec.utem.edu.my/jtec/article/view/1282

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Vol. 8 No. 7: Pioneering Future Innovation Through Green Technology III

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Articles

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