DocumentCode :
606947
Title :
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
Link To Document :
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