Identification and control of induction motor using artificial neural networks
Wang Da-zhi, Wang Zhenlei, Shusheng Gu · 2002
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.