Variable Finite Set Model Predictive Control for Current Loop of PMSM Drive System

In this paper, a variable finite set model predictive control (VFS-MPC) method is proposed, which is mainly to reduce the calculation amount of MPC and the number of three-phase switching state changes of permanent magnet synchronous machine (PMSM) control system. Firstly, a two-step MPC with low computational complexity is illustrated. Considering that the steady state performance of this method need to be further improved compared to traditional two-step MPC. After analyzing the voltage vector relationship between the two steps, a VFS-MPC method is proposed which can reduce the computational burden of processor and the number of switching state changes further without affecting the tracking performance. A simulation model is established and the results verify the effectiveness of the proposed method.