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

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 t...

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Main Authors: Sunar, N. H., Rahmat, M. F., Ismail, Z. H., Faudzi, A. M., Salim, S. N. S., Samsudin, S. I.
Format: Conference or Workshop Item
Published: 2013
Subjects:
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author Sunar, N. H.
Rahmat, M. F.
Ismail, Z. H.
Faudzi, A. M.
Salim, S. N. S.
Samsudin, S. I.
author_facet Sunar, N. H.
Rahmat, M. F.
Ismail, Z. H.
Faudzi, A. M.
Salim, S. N. S.
Samsudin, S. I.
author_sort Sunar, N. H.
collection ePrints
description 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.
first_indexed 2024-03-05T19:28:37Z
format Conference or Workshop Item
id utm.eprints-50912
institution Universiti Teknologi Malaysia - ePrints
last_indexed 2024-03-05T19:28:37Z
publishDate 2013
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spelling utm.eprints-509122017-08-22T06:15:30Z http://eprints.utm.my/50912/ Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system Sunar, N. H. Rahmat, M. F. Ismail, Z. H. Faudzi, A. M. Salim, S. N. S. Samsudin, S. I. TK Electrical engineering. Electronics Nuclear engineering 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. 2013 Conference or Workshop Item PeerReviewed Sunar, N. H. and Rahmat, M. F. and Ismail, Z. H. and Faudzi, A. M. and Salim, S. N. S. and Samsudin, S. I. (2013) Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system. In: 2013 IEEE 9th International Colloquium On Signal Processing And Its Applications (CSPA). http://dx.doi.org/10.1109/CSPA.2013.6530009
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Sunar, N. H.
Rahmat, M. F.
Ismail, Z. H.
Faudzi, A. M.
Salim, S. N. S.
Samsudin, S. I.
Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title_full Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title_fullStr Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title_full_unstemmed Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title_short Application of optimization technique for PID controller tuning in position tracking of pneumatic actuator system
title_sort application of optimization technique for pid controller tuning in position tracking of pneumatic actuator system
topic TK Electrical engineering. Electronics Nuclear engineering
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