A High Order Nonlinear Adaptive Observer for PMSM Speed-Flux Transformation Model: A PMSM Sensorless Control Scheme

This paper presents a novel speed-flux transformation model, derived from the traditional active flux model of permanent magnet synchronous motor (PMSM), which features a known regression term of speed. This advancement achieves nonlinear parameterization of motor speed, enabling the construction of a speed adaptive observer. Then a high order nonlinear adaptive (HONA) observer is developed by adopting the proposed model, which employs a nonlinear parameter updating law and high order sliding mode correction terms for error estimators, thereby enhancing the system's dynamic response. Due to the known regression term nature of the proposed model, the adaptive observer ensures stability at near-zero speeds, leading to superior performance in low-speed and reversal scenarios. After rigorously proving the observer's stability, a detailed tuning guide for parameters is provided. The effectiveness of the HONA observer is validated through both numerical and experimental works.

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Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-04-16
DOI
https://doi.org/10.1109/tpel.2025.3561555
Citations
4
Primary Topic
Industrial Technology and Control Systems
Type
article
Field-Weighted Citation Impact
4.86
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article

A High Order Nonlinear Adaptive Observer for PMSM Speed-Flux Transformation Model: A PMSM Sensorless Control Scheme

Dongsong Jin, Deliang Liang, Qilian Lin, Siyuan Liu et al.
4 citations
IEEE Transactions on Power Electronics
Industrial Technology and Control Systems
4.86
article

A High Order Nonlinear Adaptive Observer for PMSM Speed-Flux Transformation Model: A PMSM Sensorless Control Scheme

Dongsong Jin, Deliang Liang, Qilian Lin, Siyuan Liu, Ling Liu
article en
4 citations

Abstract

This paper presents a novel speed-flux transformation model, derived from the traditional active flux model of permanent magnet synchronous motor (PMSM), which features a known regression term of speed. This advancement achieves nonlinear parameterization of motor speed, enabling the construction of a speed adaptive observer. Then a high order nonlinear adaptive (HONA) observer is developed by adopting the proposed model, which employs a nonlinear parameter updating law and high order sliding mode correction terms for error estimators, thereby enhancing the system's dynamic response. Due to the known regression term nature of the proposed model, the adaptive observer ensures stability at near-zero speeds, leading to superior performance in low-speed and reversal scenarios. After rigorously proving the observer's stability, a detailed tuning guide for parameters is provided. The effectiveness of the HONA observer is validated through both numerical and experimental works.

IEEE Transactions on Power ElectronicsVol. 40(8)
State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University (CN)
Openalex Percentile: Top 5%
Industrial Technology and Control Systems
4.86
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