An Inductance-Slope-Based Sensorless Control Method for Switched Reluctance Motor

This paper proposes a sensorless control method for switched reluctance motor (SRM) based on the inductance slope of conduction phase. First, the characteristic of inductance variation with respect to position and current is analyzed. It is observed that the inductance slope at different current levels rapidly increases at nearly the same position. Then, building on this observation, a position and speed estimation method is designed, which does not require complex online calculations or complex offline calibration experiments. Finally, experiments are carried out on a 15 kW three-phase 12/8 SRM platform to validate the effectiveness and robustness of the proposed method under different speeds and loads.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921399
Primary Topic
Electric Motor Design and Analysis
Type
article
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article

An Inductance-Slope-Based Sensorless Control Method for Switched Reluctance Motor

Zixin Li, Shuanghong Wang, Fanyan Zeng
Electric Motor Design and Analysis
article

An Inductance-Slope-Based Sensorless Control Method for Switched Reluctance Motor

Zixin Li, Shuanghong Wang, Fanyan Zeng
article en

Abstract

This paper proposes a sensorless control method for switched reluctance motor (SRM) based on the inductance slope of conduction phase. First, the characteristic of inductance variation with respect to position and current is analyzed. It is observed that the inductance slope at different current levels rapidly increases at nearly the same position. Then, building on this observation, a position and speed estimation method is designed, which does not require complex online calculations or complex offline calibration experiments. Finally, experiments are carried out on a 15 kW three-phase 12/8 SRM platform to validate the effectiveness and robustness of the proposed method under different speeds and loads.

State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Electric Motor Design and Analysis
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