High-Speed Sensorless Control Strategy of SRMs: Utilizing Fourth Order Generalized Integrator to Enhance Control Performance and Overcome Magnetic Characteristic Constraints

Pre-storing magnetic characteristic parameters are essential to achieve high-speed sensorless control of switched reluctance motors (SRMs). However, creating an accurate table of nonlinear flux linkage based on magnetic characteristic parameters requires time-consuming offline measurements. To overcome this challenge, a novel high-speed sensorless control scheme is introduced, utilizing a Fourth Order Generalized Integrator (FOGI). This method offers the capability to precisely estimate the rotor position and speed, even in scenarios where the magnetic characteristic parameters are unknown. An additional advantage of the FOGI approach lies in its high-order characteristics, which provide effective filtering capabilities and robust resistance against interference. The proposed high-speed sensorless control method is validated and compared with the conventional sensorless control method based on a 5.5 kW 12/8 three-phase SRM experimental setup. The results indicate that the proposed sensorless control method has higher estimation accuracy and stronger anti-interference ability compared to the conventional method.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2024-10-08
DOI
https://doi.org/10.1109/tia.2024.3476243
Citations
2
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.42
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article

High-Speed Sensorless Control Strategy of SRMs: Utilizing Fourth Order Generalized Integrator to Enhance Control Performance and Overcome Magnetic Characteristic Constraints

Xinghao Wang, Zaixin Song, Lefei Ge, Dianxun Xiao et al.
2 citations
IEEE Transactions on Industry Applications
Electric Motor Design and Analysis
0.42
article

High-Speed Sensorless Control Strategy of SRMs: Utilizing Fourth Order Generalized Integrator to Enhance Control Performance and Overcome Magnetic Characteristic Constraints

Xinghao Wang, Zaixin Song, Lefei Ge, Dianxun Xiao, Hao Jing, Zifeng Chen
article en
2 citations

Abstract

Pre-storing magnetic characteristic parameters are essential to achieve high-speed sensorless control of switched reluctance motors (SRMs). However, creating an accurate table of nonlinear flux linkage based on magnetic characteristic parameters requires time-consuming offline measurements. To overcome this challenge, a novel high-speed sensorless control scheme is introduced, utilizing a Fourth Order Generalized Integrator (FOGI). This method offers the capability to precisely estimate the rotor position and speed, even in scenarios where the magnetic characteristic parameters are unknown. An additional advantage of the FOGI approach lies in its high-order characteristics, which provide effective filtering capabilities and robust resistance against interference. The proposed high-speed sensorless control method is validated and compared with the conventional sensorless control method based on a 5.5 kW 12/8 three-phase SRM experimental setup. The results indicate that the proposed sensorless control method has higher estimation accuracy and stronger anti-interference ability compared to the conventional method.

IEEE Transactions on Industry ApplicationsVol. 61(1)
Hong Kong Polytechnic University (HK), Northwestern Polytechnical University (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Electric Motor Design and Analysis
0.42
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High-Speed Sensorless Control Strategy of SRMs: Utilizing Fourth Order Generalized Integrator to Enhance Control Performance and Overcome Magnetic Characteristic Constraints — Xinghao Wang, Zaixin Song, et al. · IEEE Transactions on Industry Applications (2024) | TGRS Research Map | TGRS