Abstract A new method of on-line parameters identification of Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. The parameter identification model of PMSM in the d-q coordinate system is deduced according to the standard form of least squares method. The Forgetting Factor Recursive Least Square (FFRLS) is used to identify stator resistance value and direct axis and quadrature axis inductance value online. Based on the above identification results, the Model Reference Adaptive System (MRAS) is used to identify the permanent magnet flux linkage of the motor. The PI adaptive law based on design of Popov hyperstability theory is used to realize the on-line identification of permanent magnet flux linkage of the motor under various operating conditions. Finally, the simulation and experiment are developed with a 0.75kW PMSM as an example. The simulation results show that the proposed method in this paper has the advantages of less computation, high accuracy and better dynamic tracking performance.
2017, Vol. 18 
