Model Predictive Speed Control with Dynamic Reference for Electric Drive of Permanent Magnet Synchronous Machine

​This paper presents an improved finite control set model predictive control (FCS-MPC) for the electric drive system. In the conventional FCS-MPC, the speed regulation is achieved by PI-based outer loop and MPC-based inner loop. This structure weakens the features of fast dynamic response from the model predictive control. In the proposed FCS-MPC, a dynamic reference is introduced to formulate a holistic FCS-MPC in place of the PIbased outer loop. This new structure provides the system with the features of the shorter settling time and zero overshoot. Moreover, these performances are adjusted by a novel design variable called reference prediction horizon defined in the dynamic reference. The performance of the proposed FCS-MPC with dynamic reference is analyzed and verified in both simulations and experiments. A 2-kW electric drive prototype for a permanent magnet synchronous machine has been fully developed and the experimental results demonstrated the feasibility of the proposed method.