Speaker(s)

Name

Qiwei Wang

Title

Assistant Professor, IEEE Member

Affiliation

Harbin Institute of Technology

Email

wqwhit@hit.edu.cn

Name

Binxing Li

Title

Assistant Researcher, IEEE Member

Affiliation

Harbin Institute of Technology

Email

LBX@hit.edu.cn

Name

Guoqiang Zhang

Title

Professor, IEEE Senior Member

Affiliation

Harbin Institute of Technology

Email

ZhGQ@hit.edu.cn

Name

Gaolin Wang

Title

Professor, IEEE Senior Member

Affiliation

Harbin Institute of Technology

Email

WGL818@hit.edu.cn

Abstract

Permanent magnet synchronous machine (PMSM) has been applied in the wide spectrum of industry, including but not limited to renewable energy, transportation, military, and medical systems, thanks to the advantages of high-power density and high efficiency. Recently, large effects have been devoted towards the high-performance PMSM drives. However, the PMSM control technologies generally depend on the accurate parameters, making the parameter identification significant.

In this tutorial, the PMSM parameter identification technologies for both offline and online operation conditions are to be presented. Meanwhile, as the mean influence of identification accuracy, the inverter nonlinearity effect is fully considered by introducing a compensation technique. Since the changing parameters affect the PMSM control performance, especially the sensorless control, the parameter auto-tuning technique is also presented in the tutorial. The introduced technology combines the offline and online tuning for ensuring the smooth start up and the good control performance under steady- and transient-state of sensorless PMSM drives.

This tutorial is available for specialists in power electronics and AC motor drives, which aims to introduce the technical knowledge from both academia and industry perspectives.