Improved Statically Compensated Voltage Model for Full-Speed Sensorless SPMSM Drive

This paper mainly based on the Hybrid Flux Observer (HFO) for surface permanent magnet synchronous motor (SPMSM) sensorless control, establishes a mathematical model for the HFO, and designs a PI and R cascade controller to track the flux error in HFO without steady-state error. A multiple statically compensated voltage model (SCVM) network was proposed to remove the fifth and seventh harmonic components in the flux and enhance the precision of the position estimation at medium and high speeds for SPMSM. To further improve low-speed performance for sensorless operation, the SCVM is improved to achieve Position Independent Speed Acquisition in the d-q axes. Finally, the proposed algorithm is verified by building a simulation model.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1109/icit63637.2025.10965258
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00

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article

Improved Statically Compensated Voltage Model for Full-Speed Sensorless SPMSM Drive

Dianguo Xu, Xubo Gong, Xiaodong Ma
Sensorless Control of Electric Motors
article

Improved Statically Compensated Voltage Model for Full-Speed Sensorless SPMSM Drive

Dianguo Xu, Xubo Gong, Xiaodong Ma
article en

Abstract

This paper mainly based on the Hybrid Flux Observer (HFO) for surface permanent magnet synchronous motor (SPMSM) sensorless control, establishes a mathematical model for the HFO, and designs a PI and R cascade controller to track the flux error in HFO without steady-state error. A multiple statically compensated voltage model (SCVM) network was proposed to remove the fifth and seventh harmonic components in the flux and enhance the precision of the position estimation at medium and high speeds for SPMSM. To further improve low-speed performance for sensorless operation, the SCVM is improved to achieve Position Independent Speed Acquisition in the d-q axes. Finally, the proposed algorithm is verified by building a simulation model.

Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 94%
Sensorless Control of Electric Motors
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