Abstract: Due to the variation of motor parameters and load of the AC motor vector control system, the fuzzy inference system based on the adaptive neural networks is designed to use at the speed adjustment of the AC motor vector control system. Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.