Performance of PID Controller Tuning based on Particle Swarm Optimization and Firefly Algorithm
N.A. Selamat1, T.O. Ramih2, A. R. Abdullah3, M. S. Karis4
1Nur Asmiza Selamat, Universiti Teknikal Malaysia Melaka (UTeM), Melaka Malaysia.
2Tarmizi Omar Ramih, Universiti Teknikal Malaysia Melaka (UTeM), Melaka Malaysia.
3Abdul Rahim Abdullah, Universiti Teknikal Malaysia Melaka (UTeM), Melaka Malaysia.
4Mohd Safirin Karis, Universiti Teknikal Malaysia Melaka (UTeM), Melaka Malaysia.
Manuscript received on 18 November 2019 | Revised Manuscript received on 04 December 2019 | Manuscript Published on 10 December 2019 | PP: 225-230 | Volume-8 Issue-3S2 October 2019 | Retrieval Number: C10421083S219/2019©BEIESP | DOI: 10.35940/ijrte.C1042.1083S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper shows the study of tuning the Proportional-Integral-Derivatives (PID) in the application of coupled tank system. The controller was tuned by using an optimization technique which is a Firefly Algorithm (FA) and a Particle Swarm Optimization (PSO) Algorithm. Both FA and PSO performance were evaluated by using performance index of Integral Time Square Error (ITSE). The systems response of FA and PSO were gathered and compared in term of transient responses, ITSE and standard deviation by considering the system condition of with and without a disturbance. The simulation is conducted by using MATLAB software. The result shows that the FA giving a better system performance compared to PSO in term of overall transient responses.
Keywords: Coupled Tank System (CTS), Firefly Algorithm, ITSE, PID Controller, Particle Swarm Optimization, Parameter Tune.
Scope of the Article: Swarm Intelligence