Contents I. Introduction
Permanent magnet synchronous motor has been widely studied and applied in [1] due to its flexible controllability and high performance. In recent years, many permanent magnet synchronous motor control schemes have been proposed in the industry to meet the requirements of various application conditions. The parameters of a permanent magnet synchronous motor are important for the condition monitoring, fault detection and speed regulation control of the PMSM system, especially the controller design [2] and state monitoring[3]. Mechanical parameters, including inertial moment, viscous friction coefficient, load moment and DC bias, play a key role in achieving high dynamic performance of speed control [4], and accurate estimation of these parameters is the key [5] to obtain high dynamic response performance and strong robustness. However, these parameters can't be directly measured in the actual operation process of the motor, and they need to be based on the accurate motor model and a reliable algorithm to estimate [6]. For example, the winding resistance is easily affected by temperature, the PMSM rotor flux linkage is very sensitive to changes in temperature or magnetic density, the inertial torque and the shape and size of the mechanical load are closely linked [6].
