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

Farzad Razavi, Beitollah Ghadiri
2011 2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE)  
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
more » ... ires 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.
doi:10.1109/iccaie.2011.6162128 fatcat:pcaesv6sj5f4jaiswd6xhwhd3q