Research on Multi-Parameter Identification of PMSM Based on Model Predictive Control

摘要

Model predictive control (MPC) relies heavily on the accurate mathematical model which is usually difficult to be obtained. Parameters of permanent magnet synchronous motor (PMSM) would be changed in real time and influenced by uncertain factors. For this purpose, this paper proposes a multi-parameter identification strategy for PMSM based on MPC. The simulation is carried out and its results show that the accurate model of PMSM for MPC can be obtained and the impact of parameter errors can be eliminated by the proposed control method.