An Optimal Controller Based-on GA for Direct Torque Control

Abstract

In direct torque control (DTC) of induction motor, the performance of system is influenced by the given value of torque. The given torque is the output of speed regulator. And PID adjustor is used generally as the speed regulator, so the selection of PID parameters is crucial to DTC system. In this paper, a new optimal control strategy of DTC based-on genetic algorithm (GA) for induction motor is presented. In this method, GA is used to optimize the PID parameters of speed regulator, so the precision of given torque is improved, and the dynamic response of torque is more satisfying than traditional DTC. The results of simulation indicate the validity of this method.