The research of speed control for induction motor based on dynamic recurrent neural network

Due to multivariable, highly nonlinear, strong coupling, time-varying dynamics and unavailability of measurements, induction motor control is still a difficult and complex engineering problem. Vector control has replaced traditional control method using the ratio of voltage and frequency as a constant, which improve greatly dynamic control efficiency of motor. However, under the circumstances of changing of motor parameters, exterior load disturbance and without model of object, the motor performances can be affected. In this paper, first, the configuration and algorithm of a kind of recurrent network are researched. Second, a vector control method of neural network PI combined with recurrent network identifier are designed. Consequently, control system is proved to be strong adaptive and disturbance rejection through simulation experiments.