Particle swarm optimization for multivariable PID controller tuning
In this paper, the tuning of multivariable PID (MPID) controller using particle swarm optimisation (PSO) is presented. To provide better performance in the industry, MPID implementation often uses heuristic approach, which is based on experience. However, this method of tuning is time consuming and...
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2013
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| オンライン･アクセス: | http://eprints.utm.my/id/eprint/51238/ http://dx.doi.org/10.1109/CSPA.2013.6530036 |
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my.utm.512382017-09-18T00:26:02Z http://eprints.utm.my/id/eprint/51238/ Particle swarm optimization for multivariable PID controller tuning Selamat, N. A. Abdul Wahab, Norhaliza Sahlan, S. TK Electrical engineering. Electronics Nuclear engineering In this paper, the tuning of multivariable PID (MPID) controller using particle swarm optimisation (PSO) is presented. To provide better performance in the industry, MPID implementation often uses heuristic approach, which is based on experience. However, this method of tuning is time consuming and inadequate for complex systems. To obtain a better performance in decoupling capabilities and closed loop performance, in this study, the MPID parameters are fine-tuned using Multi-objective PSO. Simulation results show tuning parameters of MPID controllers obtained via PSO yield better performance when applied to nonlinear system for different control strategies. 2013 Conference or Workshop Item PeerReviewed Selamat, N. A. and Abdul Wahab, Norhaliza and Sahlan, S. (2013) Particle swarm optimization for multivariable PID controller tuning. In: 2013 IEEE 9th International Colloquium On Signal Processing And Its Applications (CSPA). http://dx.doi.org/10.1109/CSPA.2013.6530036 |
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Universiti Teknologi Malaysia |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Selamat, N. A. Abdul Wahab, Norhaliza Sahlan, S. Particle swarm optimization for multivariable PID controller tuning |
| description |
In this paper, the tuning of multivariable PID (MPID) controller using particle swarm optimisation (PSO) is presented. To provide better performance in the industry, MPID implementation often uses heuristic approach, which is based on experience. However, this method of tuning is time consuming and inadequate for complex systems. To obtain a better performance in decoupling capabilities and closed loop performance, in this study, the MPID parameters are fine-tuned using Multi-objective PSO. Simulation results show tuning parameters of MPID controllers obtained via PSO yield better performance when applied to nonlinear system for different control strategies. |
| format |
Conference or Workshop Item |
| author |
Selamat, N. A. Abdul Wahab, Norhaliza Sahlan, S. |
| author_facet |
Selamat, N. A. Abdul Wahab, Norhaliza Sahlan, S. |
| author_sort |
Selamat, N. A. |
| title |
Particle swarm optimization for multivariable PID controller tuning |
| title_short |
Particle swarm optimization for multivariable PID controller tuning |
| title_full |
Particle swarm optimization for multivariable PID controller tuning |
| title_fullStr |
Particle swarm optimization for multivariable PID controller tuning |
| title_full_unstemmed |
Particle swarm optimization for multivariable PID controller tuning |
| title_sort |
particle swarm optimization for multivariable pid controller tuning |
| publishDate |
2013 |
| url |
http://eprints.utm.my/id/eprint/51238/ http://dx.doi.org/10.1109/CSPA.2013.6530036 |
| _version_ |
1643652980813070336 |
| score |
13.251813 |