A novel ACI motor vector method based on T-S-FCMAC neural network predictive control algorithm.

In this paper, a novel predictive control algorithm based on T-S-FCMAC neural network is presented for three phase ACI motor control. On the basis of the principle of vector control, T-S-FCMAC neural network is adopted to build predictive model for motor speed and stator torque current, and predictive control algorithm is put forward to design the regulator with golden selection for motor speed. The presented algorithm reduces the error between flux calculation and decouple part so that it improves greatly the performance of system. The simulation shows its effective.