Alternating Sequential Model Predictive Control of Permanent Magnet Synchronous Machine

Complex weighting factor design is an issue facing model predictive control (MPC) when dealing with multiple control objectives simultaneously. Sequential MPC (SMPC) is a recent proposal to address the weighting factor issue. However, there is a need to determine the priority of the control objectives. This paper proposes an alternating SMPC (ASMPC) for a permanent magnet synchronous machine (PMSM) that eliminates the weighting factor and does not need to determine the priority of control objectives. In the proposed ASMPC, the cost functions corresponding to PMSM flux and torque control are evaluated in an alternating manner. The computational burden is reduced at the same time because only the pre-selected switch candidates are evaluated in the upcoming cost function evaluation. The PMSM flux and torque can be effectively regulated with the proposed ASMPC Simulation results demonstrate that the proposed ASMPC method can achieve satisfactory control performance.