FCS Model Predictive Current Control Method for EV PMSMs at Low Control Frequency Considering Flux Mismatch

Abstract

In order to improve the control performance of the permanent magnet synchronous machine (PMSM) drives in electric vehicles, this paper proposes a novel finite control set (FCS) model predictive current control (MPCC) method to reduce the adverse impacts caused by the low control frequency (LCF) and flux linkage mismatch (FLM). Firstly, the disadvantages of the traditional FCS-MPCC methods are illustrated in detail. Then, aiming at the LCF problem, the implementation of the FCS-MPCC algorithm based on tripartite predictions but single actuation is specially designed. In terms of the FLM issue, this paper develops a direct handling strategy by using the parameter identification technology. In detail, a stable sliding mode flux linkage (SM-FL) observer is designed to detect the realtime flux linkage. Finally, the simulation results prove that the proposed FCS-MPCC algorithm is effective.