Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system

Author

Sunar, N.H. ; Rahmat, M.F. ; Ismail, Z.H. ; Faudzi, A.M. ; Salim, S.N.S. ; Samsudin, S.I.

Author_Institution

Dept. of Mechatron. & Control Eng., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2013

fDate

8-10 March 2013

Firstpage

33

Lastpage

38

Abstract

In this paper, two optimization techniques of Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) is used to obtain the optimal PID control parameters. To represent the model of the system, system identification with ARX model structure is developed. The results are determined by analysis the step response characteristic of the system. It was observed that the performances of PID controller with PSO optimized parameters perform well in position tracking of the pneumatic actuator system.

Keywords

autoregressive processes; control system synthesis; particle swarm optimisation; pneumatic actuators; position control; three-term control; ARX model; FA; PID controller; PSO; autoregressive process with exogeneous input; controller tuning; firefly algorithm; optimization technique; particle swarm optimization; pneumatic actuator system; position tracking; proportional-integral-derivative controller; step response characteristic; system identification; Optimization; PD control; Pneumatic actuators; Signal processing algorithms; Tuning; Zinc; ARX; PID; firefly algorithm; particle swarm optimization; pneumatic;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4673-5608-4

Type

conf

DOI

10.1109/CSPA.2013.6530009

Filename

6530009