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Tuning of PID Controller Using Particle Swarm Optimization (PSO)

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@article{IJASEIT93,
   author = {Mahmud Iwan Solihin and Lee Fook Tack and Moey Leap Kean},
   title = {Tuning of PID Controller Using Particle Swarm Optimization (PSO)},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {1},
   number = {4},
   year = {2011},
   pages = {458--461},
   keywords = {PID tuning; PSO algorithm; optimization; Ziegler-Nichols Method},
   abstract = {The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor is used as a plant in this paper. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as genetic algorithm (GA) and particle swarm optimization (PSO) are employed to enhance the capability of traditional techniques. However, due to the computational efficiency, only PSO will be used in this paper. The comparison between PSO-based PID (PSO-PID) performance and the ZN-PID is presented. The results show the advantage of the PID tuning using PSO-based optimization approach.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=93},
   doi = {10.18517/ijaseit.1.4.93}
}

EndNote

%A Solihin, Mahmud Iwan
%A Tack, Lee Fook
%A Kean, Moey Leap
%D 2011
%T Tuning of PID Controller Using Particle Swarm Optimization (PSO)
%B 2011
%9 PID tuning; PSO algorithm; optimization; Ziegler-Nichols Method
%! Tuning of PID Controller Using Particle Swarm Optimization (PSO)
%K PID tuning; PSO algorithm; optimization; Ziegler-Nichols Method
%X The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor is used as a plant in this paper. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as genetic algorithm (GA) and particle swarm optimization (PSO) are employed to enhance the capability of traditional techniques. However, due to the computational efficiency, only PSO will be used in this paper. The comparison between PSO-based PID (PSO-PID) performance and the ZN-PID is presented. The results show the advantage of the PID tuning using PSO-based optimization approach.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=93
%R doi:10.18517/ijaseit.1.4.93
%J International Journal on Advanced Science, Engineering and Information Technology
%V 1
%N 4
%@ 2088-5334

IEEE

Mahmud Iwan Solihin,Lee Fook Tack and Moey Leap Kean,"Tuning of PID Controller Using Particle Swarm Optimization (PSO)," International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 4, pp. 458-461, 2011. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.1.4.93.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Solihin, Mahmud Iwan
AU  - Tack, Lee Fook
AU  - Kean, Moey Leap
PY  - 2011
TI  - Tuning of PID Controller Using Particle Swarm Optimization (PSO)
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 1 (2011) No. 4
Y2  - 2011
SP  - 458
EP  - 461
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - PID tuning; PSO algorithm; optimization; Ziegler-Nichols Method
N2  - The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor is used as a plant in this paper. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as genetic algorithm (GA) and particle swarm optimization (PSO) are employed to enhance the capability of traditional techniques. However, due to the computational efficiency, only PSO will be used in this paper. The comparison between PSO-based PID (PSO-PID) performance and the ZN-PID is presented. The results show the advantage of the PID tuning using PSO-based optimization approach.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=93
DO  - 10.18517/ijaseit.1.4.93

RefWorks

RT Journal Article
ID 93
A1 Solihin, Mahmud Iwan
A1 Tack, Lee Fook
A1 Kean, Moey Leap
T1 Tuning of PID Controller Using Particle Swarm Optimization (PSO)
JF International Journal on Advanced Science, Engineering and Information Technology
VO 1
IS 4
YR 2011
SP 458
OP 461
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 PID tuning; PSO algorithm; optimization; Ziegler-Nichols Method
AB The aim of this research is to design a PID Controller using PSO algorithm. The model of a DC motor is used as a plant in this paper. The conventional gain tuning of PID controller (such as Ziegler-Nichols (ZN) method) usually produces a big overshoot, and therefore modern heuristics approach such as genetic algorithm (GA) and particle swarm optimization (PSO) are employed to enhance the capability of traditional techniques. However, due to the computational efficiency, only PSO will be used in this paper. The comparison between PSO-based PID (PSO-PID) performance and the ZN-PID is presented. The results show the advantage of the PID tuning using PSO-based optimization approach.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=93
DO  - 10.18517/ijaseit.1.4.93