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 InductionMotor (IM) in the Direct Torque Control (DTC) method. In order to achievebetter 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 results show that optimizing the fuzzy logic speed controller of IM through ICA is the better performancecompared to FLC-based drive.

کلیدواژه ها:

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