A simplified least squares identification of permanent magnet synchronous motor parameters at standstill

In the automotive application, electrical parameters of the permanent-magnet synchronous machine (PMSM) must be identified at standstill before the startup of the motor. The identification process should be fast and requiring a low computing power in order to be incorporated in an electric variator. This paper presents a simple method based on high frequency (HF) signal injection and exploiting the implementation of state variable filters to obtain a linear model with respect to the parameters. Thus, a simplified procedure of identification based on a least squares algorithm can be used.