Robust generalized predictive control applied to the rotor side converter of a wind power generator system based on DFIG

This paper presents the model and the control of the rotor current loop a double-fed induction generator based on a robust generalized predictive controller. The controller is designed to minimize the control signal and ensure the reference tracking quickly and with a minimum of overshoot. Furthermore, it is proposed a new methodology for controller tuning based on a single parameter that allows a balance between noise attenuation of the control signal, disturbance rejection and robustness of the system during operation. Through computer simulation, the relationship between the tuning parameter and the system dynamics is analyzed. The simulations results validate the performance of the proposed controller when applied to a DFIG-based wind generation system.