PID neural network control of brushless doubly-fed machine
无刷双馈电机的PID神经网络控制

Brushless doubly-fed machine (BFDM) possesses the common advantages of squirrel-cage induction machine, wire wound induction machine and electromagenetic synchoronous machine. Therefore, it has a good prospect for application in AC drive and wind generating. Because of the complicated spatial coupling characteristics of BFDM between the two windings, the control methods based on the model of BFDM are very complicated. A PID neural network controller (PIDNN) is designed and applied to the speed regulation of BFDM. The exact speed-tracking is then realized by PIDNN controller after training. The dynamics is satisfactory. Finally, the simulaiton result validates the feasibility and effectiveness of this method.