DTC of PMSM based on artificial neural networks with regulation speed using the fuzzy logic controller

This paper presents an improved direct torque control of Permanent magnetic synchronous motor (PMSM) based on neural network (NN) and fuzzy logic (FL) technique. The major problem that is usually associated with direct torque control (DTC) drive is the high torque ripple. This paper proposes to replace the conventional selector switches statements of the voltage inverter by a selector based on artificial neural networks (ANN) and replace the classic integral proportional (IP) controller by fuzzy controller (FC) of speed in order to reduce torque ripple and increase the response time period of the system. The validity of the proposed methods is confirmed by the simulation results using Matlab/Simulink.