Sensorless Capability Expansion for SPMSM Based on Inductance Parameter Identification

Peng Chen, Ruiqing Ma, Shoujun Song and Zhe Chen ()
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Peng Chen: School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Ruiqing Ma: School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Shoujun Song: School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
Zhe Chen: School of Automation, Northwestern Polytechnical University, Xi’an 710072, China

Energies, 2024, vol. 17, issue 13, 1-18

Abstract: Pulsating high-frequency voltage injection can be used for the sensorless control of a surface-mounted permanent magnet synchronous motor (SPMSM) at zero- and low-speed ranges. However, the sensorless capability still faces challenges to the requirements of industrial application, especially at heavy load status. Aiming at this issue, this article proposes a sensorless capability expansion method for an SPMSM based on inductance parameter identification. Firstly, incremental inductances at the d-q -axis and cross-coupling inductance are identified offline by three steps combining the rotating high-frequency voltage injection and pulsating high-frequency voltage injection. Using a polynomial curve fitting algorithm, apparent inductances are calculated. Secondly, positive DC current injection at the d -axis is proposed to enhance the saliency ratio based on the analysis of parameter identification results. Compared with the conventional i d = 0 or i d < 0 method, the saliency ratio is enhanced obviously when a positive DC current is injected at the d -axis. Then, the convergence region of the sensorless control method at heavy load status is expanded and the accuracy of rotor position estimation is improved using the proposed method. Finally, the experimental results validate that the sensorless capability of the SPMSM is expanded.

Keywords: sensorless capability; inductance parameter identification; saliency ratio; convergence region; heavy load status; SPMSM (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: 2024
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