AN APPLICATION OF ION MOTION OPTIMIZATION ALGORITHM TO THE PROBLEM OF FINDING FUZZY CONTROLLER PARAMETERS

Abstract

In practice, we often use PI controller to stabilize DC motor speed with acceptable control quality. When we need to further improve the control quality and respond to different set speeds, the fuzzy controller is a suitable choice. However, the design of fuzzy controller is often difficult because determining the parameters of this controller depends a lot on the experience of the designer. In this paper, the authors present how to apply the Ions Motion Optimization algorithm to find the optimal parameter of the fuzzy controller for DC motor speed control. The results obtained through simulation and experiment show that the fuzzy controller with parameters determined by the IMO algorithm has very good performance quality with fast setting time (1.42378 s), low overshoot (0.51%) and adapt quickly when the motor set speed changes continuously.