The Efficiency of Particle Swarm Optimization Applied on Fuzzy Logic DC Motor Speed Control

Abstract

This paper presents the application of Fuzzy Logic for DC motor speed control using Particle Swarm Optimization (PSO). Firstly, the controller designed according to Fuzzy Logic rules is such that the systems are fundamentally robust. Secondly, the Fuzzy Logic controller (FLC) used earlier was optimized with PSO so as to obtain optimal adjustment of the membership functions only. Finally, the FLC is completely optimized by Swarm Intelligence Algorithms. Digital simulation results demonstrate that in comparison with the FLC the designed FLC-PSO speed controller obtains better dynamic behavior and superior performance of the DC motor, as well as perfect speed tracking with no overshoot.