IJSRP, Volume 2, Issue 11, November 2012 Edition [ISSN 2250-3153]
Abdullah J. H. Al Gizi , M.W. Mustafa
In today world, fuzzy logic and particle swarm optimization are used to answer various engineering problems. In this paper, the proportional integral derivative (PID) controller tuning by fuzzy rule method (FRMs) and a particle swarm optimization (PSO) algorithm are proposed to improve controller by adjusting transfer function parameters. The proposed fuzzy rule function and PSO algorithm searches a high-quality solution effectively and improves the response of the controlled system by adjusting the transfer function. Simulation and comparison results are presented and that the proposed algorithm finds a PID control parameter set effectively so that the PID controller has a better control performance.