An Enhanced Finite-Control-Set Model Predictive Control Strategy for PWM Rectifiers with Filter Inductance Mismatch

Abstract

In finite-control-set model predictive control (FCS-MPC) for PWM rectifiers, the control performance is degraded seriously when the filter inductance is mismatched. To deal with this problem, this paper proposes a simple FCS-MPC strategy for PWM rectifiers to achieve high control performance regardless of the parameter mismatch. In the proposed FCS-MPC, the predictive model is modified by adding a correction term to compensate for the uncertainty, and high prediction accuracy is maintained irrespective of the parameter mismatch. The proposed FCS-MPC shows highly improved control performance compared to conventional FCS-MPC, and its effectiveness is experimentally verified.