ANN based intelligent control of Induction Motor drive with Space Vector Modulated DTC

This paper presents the design of Direct Torque Controlled (DTC) Induction Motor drive that incorporates Artificial Neural Network (ANN) based controller. The control algorithms are employed to improve control performance, and to reduce torque and flux ripple. A new control strategy for Space Vector Modulation based DTC (SVM_DTC) using ANN to generate control vector is proposed. The paper investigates application of ANN to Conventional DTC (C_DTC) and SVM_ DTC. Simulation studies show that the intelligent control technique is able to reduce the torque and flux ripples and to improve the performance of the drive especially at low speed. Proposed ANN_SVM_DTC is less complex, requires a single ANN controller for decoupled torque and flux control, and improves the performance.