A position error reduced sensorless control method for PMSM based on an improved sliding mode observer and PLL

Abstract The conventional sliding mode observer (SMO)-based sensorless control method for permanent magnet synchronous motor (PMSM) usually requires a sigmoid function, and a low-pass filter (LPF) to reduce the sliding mode noise. However, the influences of the sigmoid function on the rotor position estimation are not clear, and the conventional rotor position compensation method has large errors. To solve these drawbacks, a position error reduced sensorless control method for PMSM based on an improved SMO and phase-locked loop (PLL) is proposed in this paper. First, the influences of the sigmoid function on the rotor position estimation are analyzed in detail. Then, to remove these influences, an improved SMO is proposed by introducing a cross-compensation term in the observer. Next, the drawbacks of the conventional rotor position compensation method are explained, and an improved PLL is further proposed, which not only can compensate the rotor position error generated by the LPF without using the estimated speed, but also can reduce the sliding mode chattering better. As a result, better sensorless control performance is achieved. Finally, experimental studies are carried out, which show that the rotor position estimation error is reduced from 0.2 rad to 0.0025 rad at 200 r/min, and it is reduced from 0.022 rad to 0.0025 rad at 1,000 r/min, indicating the effectiveness of the proposed method in this paper.

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Publication Details

Journal
International Journal of Emerging Electric Power Systems
Published
2026-02-04
DOI
https://doi.org/10.1515/ijeeps-2025-0371
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

A position error reduced sensorless control method for PMSM based on an improved sliding mode observer and PLL

Haoyi Huang, Jung-Shyr Wu, Leilei Guo, Chen Jiang et al.
International Journal of Emerging Electric Power Systems
Sensorless Control of Electric Motors
article

A position error reduced sensorless control method for PMSM based on an improved sliding mode observer and PLL

Haoyi Huang, Jung-Shyr Wu, Leilei Guo, Chen Jiang, Fei Teng, Kun Huang
article en

Abstract

Abstract The conventional sliding mode observer (SMO)-based sensorless control method for permanent magnet synchronous motor (PMSM) usually requires a sigmoid function, and a low-pass filter (LPF) to reduce the sliding mode noise. However, the influences of the sigmoid function on the rotor position estimation are not clear, and the conventional rotor position compensation method has large errors. To solve these drawbacks, a position error reduced sensorless control method for PMSM based on an improved SMO and phase-locked loop (PLL) is proposed in this paper. First, the influences of the sigmoid function on the rotor position estimation are analyzed in detail. Then, to remove these influences, an improved SMO is proposed by introducing a cross-compensation term in the observer. Next, the drawbacks of the conventional rotor position compensation method are explained, and an improved PLL is further proposed, which not only can compensate the rotor position error generated by the LPF without using the estimated speed, but also can reduce the sliding mode chattering better. As a result, better sensorless control performance is achieved. Finally, experimental studies are carried out, which show that the rotor position estimation error is reduced from 0.2 rad to 0.0025 rad at 200 r/min, and it is reduced from 0.022 rad to 0.0025 rad at 1,000 r/min, indicating the effectiveness of the proposed method in this paper.

International Journal of Emerging Electric Power Systems
Zhengzhou University of Light Industry (CN), Zhejiang Energy Research Institute (CN), Shanghai Electric (China) (CN), Zhejiang Energy Group (China) (CN)
Openalex Percentile: Top 67%
Sensorless Control of Electric Motors
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A position error reduced sensorless control method for PMSM based on an improved sliding mode observer and PLL — Haoyi Huang, Jung-Shyr Wu, et al. · International Journal of Emerging Electric Power Systems (2026) | TGRS Research Map | TGRS