Improve Fuzzy-PSO PID Controller by Adjusting Transfer Function Parameters

Abstract- In today‟s 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