Torque ripples control and speed regulation of Permanent magnet Brushless dc Motor Drive using Artificial Neural Network

Abstract

This paper presents a torque control of Permanent magnet Brushless DC (PMBLDC) Motor Drive using Artificial Neural Network (ANN) for low torque ripples. Conventional BLDC Motor produces high ripples in electromagnetic torque and it is not directly controlled. The motor may lead to component loss as well as bearing failure due to vibrations caused by high torque ripples. The main drawback with the conventional Brushless dc motor drives (BLDCMD) is high torque ripples and the speed of BLDCMD is reduced under transient and dynamic state of operating condition. This drawback is reduced using with the proposed control technique. In this proposed control technique the speed of the BLDCMD is regulated by the PI controller and the torque ripple is reduced by the ANN. Complete simulation of the conventional BLDCMD is done in MATLAB Simulink.