A direct torque control (DTC) method for six phase induction motors using ANFIS modified by PSO

In this paper, a new method for the purpose of controlling a six-phase induction machine (SPIM) is presented. This method uses an adaptive neuro fuzzy interference system (ANFIS) based direct torque control (DTC) algorithm. The proposed control scheme uses the fuzzy inference system to modulate the phase of stator voltage vector applied to the SPIM. All training parameters of the ANFIS are tuned by particle swarm optimization (PSO) algorithm with some modifications. The entire proposed system is implemented in MATLAB/SIMULINK environment. Simulation results are presented to demonstrate the attractive performance of the proposed ANFIS based DTC speed control of the SPIM.