DESIGN OF PID CONTROLLER, FLC-SUGENO FOR FAN AND PLATE SYSTEM USING PSO OPTIMIZATION ALGORITHM

Abstract

In this paper, we present the design of PID controllers and fuzzy controllers (Fuzzy Logic Controller - FLC) according to the Sugeno model (FLC) optimal based on the Particle Swarm Optimization algorithm (PSO). The controlling object is the Fan and Plate System (F&P). This is a strong non-linearity object. PID controller is originally designed by Ziegler-Nichols experimental method. The FLC controller is a manual design with membership functions evenly distributed over a defined domain of variables. Next, optimization PSO is used to optimize K_P, K_I, K_D coefficients of the PID controller and optimize the membership function of the FLC. Through simulation showed, the controller after optimizing for the quality of control increased significantly. In particular, the FLC controller produces better control results. Through research, the design of the FLC controller with the PSO optimization algorithm is an effective method.