Finite control set-model predictive control with on-line parameter estimation for variable-speed wind energy conversion systems

Abstract

In this paper, a finite control set-model predictive control (FCS-MPC) scheme with on-line parameter estimation for permanent magnet synchronous generators (PMSGs) based variable-speed wind turbines is proposed. For designing the proposed FCS-MPC, the discrete time model of the PMSG is considered and the future behavior is predicted. Afterward, the switching action that produces the minimum value of a predefined cost function is applied in the next sampling instant. In order to increase the robustness of the proposed FCS-MPC against parameter variations of the PMSG, an extended Kalman filter (EKF) is implemented for estimating the stator resistance and inductance of the PMSG. The performance of the proposed FCS-MPC with on-line parameter estimation is proved via simulation results for all operation conditions.