Research on Rotor Position Observation Method for Synchronous Motors at the Initial and Low-Speed

At the startup of a synchronous motor, the rotor position is difficultly observed through back electromotive force (EMF). Existing rotor position observation methods face various issues when applied to the initial and low-speed stages of an LCI-driven synchronous motor system. This paper focuses on sensorless control for rotor position observation during the initial and low-speed stages of the LCI-driven synchronous motor system. Firstly, the paper introduces the intermittent commutation control method for the system, then proposes a rotor position observation method based on three-pulse excitation control. Finally, a Simulink model based on LCI-driven synchronous motors is built, and the proposed method is verified through simulation.

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Publication Details

Published
2025-05-16
DOI
https://doi.org/10.1109/cieec64805.2025.11116112
Primary Topic
Oral History, Memory, Narrative Analysis
Type
article
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article

Research on Rotor Position Observation Method for Synchronous Motors at the Initial and Low-Speed

Oral History, Memory, Narrative Analysis
article

Research on Rotor Position Observation Method for Synchronous Motors at the Initial and Low-Speed

article en

Abstract

At the startup of a synchronous motor, the rotor position is difficultly observed through back electromotive force (EMF). Existing rotor position observation methods face various issues when applied to the initial and low-speed stages of an LCI-driven synchronous motor system. This paper focuses on sensorless control for rotor position observation during the initial and low-speed stages of the LCI-driven synchronous motor system. Firstly, the paper introduces the intermittent commutation control method for the system, then proposes a rotor position observation method based on three-pulse excitation control. Finally, a Simulink model based on LCI-driven synchronous motors is built, and the proposed method is verified through simulation.

Wenzhou University (CN), Tianjin University (CN), Zhejiang Chint Electrics (China) (CN), BeiGene (China) (CN), Gezhouba Explosive (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 43%
Oral History, Memory, Narrative Analysis
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