Time Switching Finite-Control-Set Model Predictive Control for Surface-Mounted Permanent Magnet Synchronous Motor

This paper presents a time switching finite-control-set model predictive control (TS-FCS-MPC) scheme for surface-mounted permanent magnet synchronous motors. In this scheme, the nonlinear dynamic model of SPMSM is decomposed into two linear time-invariant sub-models. In this way, the nonlinear MPC problem is converted into two linear MPC problems, which can be solved efficiently. By using a time switching signal, two FCS-MPC sub-controllers are activated alternatively. Correspondingly, their optimal control actions are also applied alternatively to the 2-level voltage source inverter. This way, the original nonlinear MPC problem is handled by the time switching control between two linear sub-FCS-MPCs. Simulation results verify the effectiveness of the proposed scheme.