DOI : https://doi.org/10.18517/ijaseit.1.4.93

Tuning of PID Controller Using Particle Swarm Optimization (PSO)

Mahmud Iwan Solihin (1), Lee Fook Tack (2), Moey Leap Kean (3)
(1) School of Engineering, UCSI University, Malaysia
(2) School of Engineering, UCSI University, Malaysia
(3) School of Engineering, UCSI University, Malaysia
Fulltext View | Download
How to cite (IJASEIT) :
Solihin, Mahmud Iwan, et al. “Tuning of PID Controller Using Particle Swarm Optimization (PSO)”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 4, Aug. 2011, pp. 458-61, doi:10.18517/ijaseit.1.4.93.
Citation Format :
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.

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).