Identification and control of induction motor using artificial neural networks

This paper proposes the use of one kind of artificial neural network (ANN), so called dynamic recurrent neural networks (DRNN), to identify and control an induction motor. A scheme of identification of the electrical dynamics of a voltage-fed induction motor is presented. Computer simulation results of rotor speed are based on a system to adaptively control the rotor speed via identification of the mechanical and current-fed system dynamics, and the performance of the combined speed and current control scheme is shown to be perfect