Imperialist Competitive Algorithm ICA-Optimized Fuzzy Logic Speed Control of DTC Induction Motor Drives

In this paper, Imperialist Competitive Algorithm (ICA) is employed to optimize Fuzzy Logic Controller (FLC) as the speed controller of an Induction Motor (IM) in the DirectTorque Control (DTC) method. In order to achieve better control performance, the ICA optimizes the parameters of the FLCconsisting of input and output membership functions (MFs) andnormalization factors. Since, the proposed FLC speed controller has a few rules, it requires less computation. Simulation resultsshow that optimizing the fuzzy logic speed controller of IM through ICA is the better performance compared to FLC-based drive.

Keywords:

Induction Motor (IM) , Direct Torque Controller (DTC) , Fuzzy Logic Controller (FLC) , Imperialist Competitive Algorithm (ICA