Permanent-Magnet Synchronous Motor Sensorless Control Using Proportional-Integral Linear Observer with Virtual Variables: A Comparative Study with a Sliding Mode Observer

Baochao Wang, Yangrui Wang, Liguo Feng, Shanlin Jiang, Qian Wang and Jianhui Hu
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Baochao Wang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Yangrui Wang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Liguo Feng: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Shanlin Jiang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Qian Wang: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China
Jianhui Hu: School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150001, China

Energies, 2019, vol. 12, issue 5, 1-12

Abstract: Quick convergence, simple implementation, and accurate estimation are essential features of realizing permanent-magnet synchronous motor (PMSM) position estimation for sensorless control using microcontrollers. A linear observer is often designed on real plant variables and is more sensitive to parameter uncertainty/variations. Thus, conventionally, a sliding mode observer (SMO)-based technique is widely used for its simplicity and convergence ability against parameter uncertainty. Although SMO has been improved for switching chattering and phase delay, it provides purely proportional gain, which leads to steady-state error and chattering in observation results. Different from conventional linear observer using real plant variables or SMO with proportional gain, a simple proportional-integral linear observer (PILO) using virtual variables is proposed in this paper. This paper also provides a comparative study with SMO. By introducing virtual variables without physical meaning, the PILO is able to simplify observer relations, get smaller phase shifts, adapt mismatched parameters, and obtain a fixed phase-shift relation. The PILO is not only simple, but also improves the estimation precision by solving the controversy between chattering and phase-delay, steady-state error. Moreover, the PILO is less sensitive to parameters mismatching. Simulation and experimental results indicate the merits of the PILO technique.

Keywords: PMSM; sensorless; EMF; proportional-integral observer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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