High-Precision Low-Speed Measurement for Permanent Magnet Synchronous Motors Using an Improved Extended State Observer

High-precision speed measurement at low speeds in PMSM drives is hindered by encoder quantization noise. This paper proposes an enhanced extended state observer (ESO)-based method to overcome limitations of conventional approaches such as direct differentiation with the low-pass filter (high noise), the phase-locked loop (PLL)-based method (limited dynamic response), and standard ESO (sensitivity to disturbance). The improved ESO incorporates reference torque feedforward and disturbance feedback, significantly suppressing noise and enhancing robustness. Simulations and experiments demonstrate that the proposed method reduces steady-state speed fluctuation by up to 42% compared to standard ESO and over 90.1% relative to differentiation-based methods, while also improving transient performance. It exhibits superior accuracy and stability across various low-speed conditions, offering a practical solution for high-performance servo applications.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-10-28
DOI
https://doi.org/10.3390/wevj16110595
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

High-Precision Low-Speed Measurement for Permanent Magnet Synchronous Motors Using an Improved Extended State Observer

Runze Ji, Kai Liu, Yifei Wang, Rana Md Sohel
World Electric Vehicle Journal
Sensorless Control of Electric Motors
article

High-Precision Low-Speed Measurement for Permanent Magnet Synchronous Motors Using an Improved Extended State Observer

Runze Ji, Kai Liu, Yifei Wang, Rana Md Sohel
article en

Abstract

High-precision speed measurement at low speeds in PMSM drives is hindered by encoder quantization noise. This paper proposes an enhanced extended state observer (ESO)-based method to overcome limitations of conventional approaches such as direct differentiation with the low-pass filter (high noise), the phase-locked loop (PLL)-based method (limited dynamic response), and standard ESO (sensitivity to disturbance). The improved ESO incorporates reference torque feedforward and disturbance feedback, significantly suppressing noise and enhancing robustness. Simulations and experiments demonstrate that the proposed method reduces steady-state speed fluctuation by up to 42% compared to standard ESO and over 90.1% relative to differentiation-based methods, while also improving transient performance. It exhibits superior accuracy and stability across various low-speed conditions, offering a practical solution for high-performance servo applications.

World Electric Vehicle JournalVol. 16(11)
Southeast University (CN)
Openalex Percentile: Top 69%
Sensorless Control of Electric Motors
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