A High-efficiency PMSM Sensorless Control Approach Based on MPC Controller

As the applications of permanent magnet synchronous motor (PMSM) become wide, the demand for highperformance control accuracy of PMSM drive systems is getting higher. It is true that the traditional dual-proportional-integral (PI) loop control strategy is widely used in PMSM drive systems. However, tuning parameters is difficult. In addition, when the system parameters (e.g., motor resistance) change, the output performance of PI controller degrades dramatically. In order to improve the capability of resisting disturbance, this paper presents a sensorless model predictive vector control for PMSM. First, it builds a discrete model of PMSM by using first-order Euler method. Second, a new single-loop model predictive control (MPC) based on back-electromotive force and I-F control is proposed, which simplifies the system structure and control algorithm. Finally, the simulation and experimental results verify that the MPC has high dynamic and steady-state performance.