Direct-drive permanent-magnet synchronous generator (PMSG) with three-level neutral-point-clamped (3L-NPC) back-to-back power converter is an attractive configuration for high-power wind energy conversion systems. For such topology, finite control set model predictive control (FCS-MPC) has been emerged as a promising alternative. However, due to its fully model based concept, variation of system parameter (in particular, the stator and grid filter inductance and rotor permanent-flux linkage) will (seriously) affect the system control performances when using the classical FCS-MPC. In this work, a robust FCSMPC method with revised predictions is proposed and validated for such system. With the proposed solution, not only the system robustness against parameter variations is improved, but also the control variable ripples are evidently reduced. The proposed method has been implemented with a fully FPGA based real-time hardware. Its performance improvements in comparison with the conventional solutions are validated with experimental data.     «

Direct-drive permanent-magnet synchronous generator (PMSG) with three-level neutral-point-clamped (3L-NPC) back-to-back power converter is an attractive configuration for high-power wind energy conversion systems. For such topology, finite control set model predictive control (FCS-MPC) has been emerged as a promising alternative. However, due to its fully model based concept, variation of system parameter (in particular, the stator and grid filter inductance and rotor permanent-flux link...     »