Controlling the speed of induction motor using Imperialist Competitive Algorithm (ICA) based on FLC

This paper presents a method for optimizing Fuzzy Logic Controller (FLC) using Imperialist Competitive Algorithm (ICA) in order to control the speed of an induction motor (IM) in the Indirect Field-Oriented Control (IFOC) method. So as to achieve a better control performance, the ICA optimizes the parameters of the FLC, which are input membership functions (MFs) and normalization factors. The ICA-optimized FLC discussed in this study has only a few rules and consequently requires less computation. This makes the FLC more suitable for real-time implementation, particularly at high speeds. Simulation results show that optimizing the fuzzy logic speed controller of IM through ICA is the best performance compared to FLC-based drive.