Torque and Flux Ripple Reduction of Direct Torque Control for Induction Motor Using Intelligent Technique

The aim of this paper is reduction of torque and flux ripples in transient and steady state response of Direct Torque Control (DTC) for Induction Motor drive using intelligent technique. This proposed control to improve the torque, speed and flux response will be achieved with the Artificial Neural Network (ANN) DTC than the Conventional DTC (CDTC). In this paper DTC system using ANN is successfully implemented on three phase induction motor to optimize the flux and to improve the performance of fast stator flux response in transient state. To improve the performance of DTC with the modern technique using ANN approach is implemented, and performance of ANN DTC compared with CDTC is done, hence the ANN approach shows the better performance. The performance has been tested by using MATLAB/SIMULINK and NEURAL NETWORK toolbox.