Application of small neural network based speed estimator in direct torque control of induction motor

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