An Improved DTC of an Induction Motor Drive with Neural Network Controller

Abstract — A space vector modulation based direct torque Control strategy is suggested and an intelligence controller design based on this strategy is presented. A neural network controller is proposed to replace the conventional PID controllers to improve the drive’s performance since the performance of an electric drive really depends on the quality of a speed controller. The neural network controller was trained and realizes for a speed controller. The controller was utilized in the feed-back loop of the control system. The control system renditions as well as the online learning technique of the neural network are described in this paper. The comparison with the conventional PID direct torque controller reveal the effectiveness of the proposed scheme by improved the performance of transient response is presented. A simulation model representing the complete neural network based direct torque control scheme of induction motor drive is developed and verified using S-Function Simulink block program