The research of double-fed motor based on the neural network inverse system control strategy and it´s simulation

In this paper, based on vector control system of double-fed motor, the artificial neural network (ANN) inverse control strategy of double-fed motor control is discussed. The double-fed motor mathematical model with stator flux oriented in the synchronous MT reference frame is given, and the reversibility of the system through Interact or Algorithm is confirmed, thus the artificial neural network inverse system model of motor is contributed, then the model is applied to double-fed speed-regulating system. At last, the double-fed motor control strategy based on artificial neural network inverse model is simulated on MATLAB. The simulation results shows that applying the neural network inverse system control strategy to double-fed motor is feasible.