Sensorless Position Estimation with Virtual Inductance Vector for Switched Reluctance Machines Considering Asymmetrical Phase Inductance

Authors

  • Kai Liu School of Electrical Engineering Changzhou Vocational Institute of Mechatronic Technology, Changzhou 213164, China
  • Zongwen Jiang Zoomlion Agriculture Machinery Co. Ltd. Wuhu 052165, China
  • Qing Wang School of Information Engineering Nanchang University, Nanchang 330031, China
  • Jiangtao Hu School of Information Engineering Nanchang University, Nanchang 330031, China

DOI:

https://doi.org/10.13052/2024.ACES.J.400913

Keywords:

Asymmetry inductance, phase inductance estimation, sensorless position estimation, switched reluctance machine, virtual inductance vector

Abstract

This paper proposes an online sensorless rotor position estimation technique for switched reluctance motors, by which the real-time rotor position is estimated by detecting the virtual inductance vector of the machine. With the proposed technique, rotor position can be estimated accurately, even if the inductance of each phase is asymmetrical. It is achieved by first detecting real-time voltage and real-time current of each phase winding, according to which flux-linkage and inductance of each phase can be thus calculated. With the calculated inductance of each phase, a coordinate system can be established for rotor position estimation. However, since the position estimation accuracy will be reduced by asymmetrical phase inductance, a conversion rule is proposed to convert actual phase inductance to virtual inductance, by which the symmetry of phase inductance can be corrected. Then, according to virtual inductance, a new coordinate system is established for rotor position estimation. In the new coordinate system, position estimation shows high accuracy under both normal condition and asymmetric inductance condition. To conclude, simulation and experimental results are given to verify the effectiveness of the proposed sensorless position estimation technique.

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Author Biographies

Kai Liu, School of Electrical Engineering Changzhou Vocational Institute of Mechatronic Technology, Changzhou 213164, China

Kai Liu received the B.S. degree in electrical engineering and automation and M.S. degree in electrical engineering from China University of Mining and Technology, in June 2011 and June 2014, respectively. From September 2014 to May 2017, Liu worked as a teaching assistant at Changzhou Vocational Institute of Mechatronic Technology, and from June 2017 to present, as lecturer and professional leader at Changzhou Vocational Institute of Mechatronic Technology. His main interests include switched reluctance machines, machine vision, robotic application.

Zongwen Jiang, Zoomlion Agriculture Machinery Co. Ltd. Wuhu 052165, China

Zongwen Jiang received the M.S degree in Nanchang University. His research focuses on motors and their control, and he currently works at Zoomlion Agriculture Machinery Co. Ltd. He is engaged in the research of electrical systems for dryers.

Qing Wang, School of Information Engineering Nanchang University, Nanchang 330031, China

Qing Wang received the B.S. degree in automation from Northeastern University, Shenyang, China, in 2011, and the Ph.D. degree in electrical engineering from China University of Mining and Technology, Xuzhou, China, in 2017. In 2018, he was a Lecturer with the School of Information Engineering, Nanchang University, Nanchang, China, where he has been an Associate Professor since 2023. His research interests include electric vehicles, electrical motor drives, renewable energy generations, and micro-grids.

Jiangtao Hu, School of Information Engineering Nanchang University, Nanchang 330031, China

Jiangtao Hu received the B.S. degree in electrical engineering from Jiangxi University of Science and Technology, Ganzhou, China, in 2023. He is currently working toward the M.S. degree at the School of Information Engineering, Nanchang University, Nanchang, China. His research interests include power electronics and motor control.

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Published

2025-09-30

How to Cite

[1]
K. . Liu, Z. . Jiang, Q. . Wang, and J. . Hu, “Sensorless Position Estimation with Virtual Inductance Vector for Switched Reluctance Machines Considering Asymmetrical Phase Inductance”, ACES Journal, vol. 40, no. 09, pp. 922–933, Sep. 2025.

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Section

Advances in Analysis, Design and Control of Switched Reluctance Machines

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