Training of a neural network controller for indirect field orientation control

This paper presents the design of an improved neural network controller for the stator current command in an indirect field oriented control system of an induction motor. This controller is superior to a previously proposed controller in that another step is added to the training of the neural network so that the controller is more stable and also the voltage feedbacks are eliminated. Also the number of neurons are reduced which helps practical implementation of the network.