Utilization of artificial neural network for the controller design of the machine side converter in the PMSG wind turbine

This paper discusses the improvement of the Permanent magnetic synchronous generator (PMSG) wind turbine using an artificial neural network for the controller of the machine side converter. An artificial neural network (ANN) is trained to replace traditional PI controllers, to improve stability, accuracy and control performance. Simulation is performed in MATLAB after training the neural network and it is shown that results are good. The paper also indicates that the ANN controller can be less complicated and less costly as compared to some other proposed schemes.