Efficient Online Inductance Tracking Algorithm for IPMSM Using Torque Estimation

Han-Woong Ahn, Sungil Bae and Hyun-Jong Park ()
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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

Energies, 2025, vol. 18, issue 3, 1-11

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.

Keywords: real-time parameter tracking algorithm; inductance identification; electric torque estimator; IPMSM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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