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Efficient Online Inductance Tracking Algorithm for IPMSM Using Torque Estimation

Author

Listed:
  • Han-Woong Ahn

    (Satellite Technology Research and Development Division, Korea Aerospace Research Institute, Daejeon 34133, Republic of Korea)

  • Sungil Bae

    (Department of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of Korea)

  • Hyun-Jong Park

    (Department of Mechanical Engineering, Kongju National University, Cheonan 31080, Republic of Korea
    Institute of Green Car Technology, Kongju National University, Cheonan 31080, Republic of Korea)

Abstract

This paper proposed a novel real-time inductance tracking algorithm. This algorithm estimates the inductance of interior permanent magnet synchronous motors (IPMSMs) using electrical and mechanical equations. Unlike the conventional algorithms, the proposed online inductance identification algorithm does not need information on magnetic flux. Therefore, the parameter can be estimated of the variation with the operating point and cross-saturation effect. In this paper, a novel real-time parameter tracking algorithm based on the electrical torque estimator is derived. The feasibility and usefulness of the proposed inductance estimation technique are verified by simulation and experimental results.

Suggested Citation

  • Han-Woong Ahn & Sungil Bae & Hyun-Jong Park, 2025. "Efficient Online Inductance Tracking Algorithm for IPMSM Using Torque Estimation," Energies, MDPI, vol. 18(3), pages 1-11, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:469-:d:1572603
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