Finite control set model predictive current control of a five-phase PMSM with virtual voltage vectors and adaptive control set

Abstract

This paper presents an improved finite control set model predictive current control (FCS-MPCC) of a five-phase permanent magnet synchronous motor (PMSM). First, to avoid including all the 32 voltage vectors provided by a two-level five-phase inverter into the control set, virtual voltage vectors are adopted. As the third current harmonics can be much reduced by virtual voltage vectors automatically, the harmonic items in the cost function of conventional FCS-MPCC are not considered. Furthermore, an adaptive control set is proposed based on voltage prediction. Best control set with proper voltage vector amplitude corresponding to different rotor speed can be achieved by this method. Consequently, current ripples can be largely reduced and the system performs much better. At last, simulations are established to verify the steady and transient performance of the proposed FCS-MPCC, and experiments based on a 2 kW five-phase motor are carried out. The results have validated the performance improvement of the proposed control strategy.