Speed Control of DC Motor Using Imperialist Competitive Algorithm Based on PI-Like FLC

Abstract

This paper presents a method for optimizing PIlike Fuzzy Logic Controller (FLC) using Imperialist Competitive Algorithm (ICA) and Genetic Algorithm (GA) in order to control the speed of DC motor. So as to achieve a better control performance, the ICA and GA optimize the parameters of FLC, which are Membership Functions (MFs) and gain factors. The number of rule in the designed PI-like FLC is low and consequently requires less computation. This makes the FLC more suitable for real-time implementation, particularly at high-speed operating conditions. Simulation results show that optimizing the PI-like FLC through ICA is the best performance compared to PI-like FLC and GAoptimized PI-like FLC. KeywordsDC Motor; PI-like Fuzzy Logic Controller (FLC); Imperialist Competitive Algorithm (ICA)