Robust finite-control-set model predictive control for voltage source inverters against LC-filter parameter mismatch and variation

Abstract

This paper proposes a robust finite-control-set model predictive control (FCS-MPC) method for a two-level voltage source inverter (VSI) against LC-filter parameter mismatch and variation. Unlike conventional FCS-MPCs, the predictive schemes for inductor current and capacitor voltage are treated separately to avoid filter-inductance dependency. Consequently, the capacitor voltage is easily predicted from a C-filter model instead of the typical LC-filter model used in conventional FCS-MPCs. In addition, the filter capacitance is the only parameter that affects the control performance related to the LC-filter parameter mismatch. Furthermore, the control performance against LC-filter parameter mismatch is guaranteed, since the capacitance is accurately identified by means of least-squares minimization. Experimental results show that the proposed FCS-MPC achieves robustness against LC-filter parameter mismatch and high control performance when compared to the conventional FCS-MPC.