FIVE-LEVEL DTC WITH 12 SECTORS OF INDUCTION MOTOR DRIVE USING NEURAL NETWORKS CONTROLLER FOR LOW TORQUE RIPPLE

Abstract

This paper presents an improved five-level DTC with 12 sectors of induction motor based on artificial neural networks controller. This neural controller was used to replace on the conventional comparator hysteresis of torque in order to reduce torque ripple, flux and stator current. The validity of the proposed control scheme is verified by simulation tests of an induction motor drive system. The stator current and stator flux, torque is determined and compared to the above techniques using Matlab/Simulink environment.