Adaptive controller for PMSG wind turbine systems with back-to-back PWM converters

This paper presents an adaptive control strategy for wind energy conversion systems. The control scheme uses a B-spline artificial neural network for tuning controllers when the system is subjected to disturbances. Voltage-source converter is controlled in a synchronous orthogonal d-q frame by an adaptive PI controller. The B-spline neural network must be able to enhance the system performance through online updating parameters. Thus, the paper proposes the use of adaptive PI controllers to regulate the current, frequency, and DC link voltage. MatLab is employed for simulation studies to verify the performance of the proposed strategy.