Open AccessPerformance of PID Controller Tuning based on Particle Swarm Optimization and Firefly Algorithm
Author(s) -
Andi Agus Nur,
Tarmizi Ramih,
Abdul Hanan Abdullah,
Siti Hajar Mohd
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c1042.1083s219
Subject(s) - particle swarm optimization , firefly algorithm , pid controller , matlab , transient (computer programming) , control theory (sociology) , firefly protocol , computer science , mean squared error , algorithm , controller (irrigation) , multi swarm optimization , mathematics , control engineering , engineering , artificial intelligence , control (management) , temperature control , statistics , zoology , agronomy , biology , operating system
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.