A discrete space vector model predictive control strategy for permanent magnet synchronous motors

Abstract

Finite control set model predictive control (FCS-MPC) has been widely used in permanent magnet synchronous motor (PMSM) control. However, the number of voltage vectors (VVs) of the conventional FCS-MPC is 8, which can't satisfy the requirement of high control performance, so a discrete space vector MPC (DSV-MPC) is proposed. The VV plane is firstly divided uniformly, and then the optimal VV is searched quickly with the dichotomy. Considering the limited computational capability of the DSP, the number of iterative searches and the error of the optimal VVs are analysed in detail, which is used to give the number of iterations as a reference. Finally, the effectiveness of the proposed DSV-MPC method is verified by simulation.