High dynamic and static performance FCS-MPC strategy for static power converters

This paper proposes an improved Finite Control Set Model Predictive Control (FCS-MPC) strategy to control static power converters that overcomes the parameter sensitivity of the conventional strategy. The parameters error can be due to both a poor estimation and their time variant behavior, as the grid parameters in grid connected static power converters. Contrary to the standard FCS-MPC approach that tracks a system output reference, the proposed scheme is based on a system input reference tracking that can be obtained from a state-feedback. In the proposed scheme, output system integrators are added to modify the dynamic performance and ensure zero steady-state error under parameters errors. This approach overcomes one important disadvantage that presents the conventional FCS-MPC strategy which is the dependence of a model with accurate parameters to avoid performance degradation. The results verify the correct performance in both with or without parameters errors.