Genetic neuro controller based direct torque control for switched reluctance motor drive

Abstract

Direct torque control (DTC) of Switched reluctance motor is known to have simple control structure with comparable performance. However, the role of optimal selection of the voltage space vector is one of the weakest points in a conventional DTC drive. In this paper optimal selection of voltage space vectors is achieved using GA based neural network. Simulations results validate the proposed intelligent system with fast torque and flux response with minimized torque and flux ripple.