Direct Torque Control of Induction Motor Using Neural Network

In this paper, a kind of feed forward neural network (NN) with three layers was applied to direct torque control (DTC) of induction motor. And backward propagation (BP) algorithm was used to train the network. The comparison with conventional direct torque control show that the proposed method reduce the torque, stator flux, and current ripples. The validity of the proposed method is verified by the simulation results.