A small neural network structure application in speed estimation of an induction motor using direct torque control

This paper shows a small structured neural network speed estimator for induction motors using a direct torque control (DTC) method. The backpropagation technique was used to train the neural network. The small structure leads to short off line training and processing times. The overall algorithm based on a conventional DTC closed loop is simple and the results are validated through simulation and implementation