Speed estimation and parameters identification simultaneously of PMSM based on MRAS

This paper deals with the Permanent Magnet Synchronous Motor (PMSM)parameters identification and speed estimation problems. It proposes a solution to adjust PI parameters of speed observer and identifies stator resistance, d-axis and q-axis inductance. In fact, there are a lot of methods for estimating the speed. For example, high frequency injection, Kalman filter and model reference adaptive system(MRAS). However, with the motor running, some parameters will change. Such as the stator resistance will change with the increase of temperature. These parameters are useful for estimating the speed. So, it is necessary to identify parameters. In this paper, MRAS is the theoretical basis. First, the adaptive law of speed observer is constructed through Popov stability and propose a method to adjust PI parameters for the speed observer. This method has a strong adaptability and transplantation. Then, the adaptive laws of stator resistance, d-axis and q-axis inductance are constructed through Lyapunov stability and the Popov stability, respectively and compare their results. The stability of the proposed observers are also discussed. Last, this paper uses field oriented control(FOC) strategy and illustrates the obtained results through simulation.