A Novel Voltage Reconstruction Method for MRAS based Sensorless IPMSM Drives

Conference Paper (2021)
Author(s)

Junzhong Xu (Shanghai Jiao Tong University)

Thiago B. Soeiro (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Yong Wang (Shanghai Jiao Tong University)

Yang Wu (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Houjun Tang (Shanghai Jiao Tong University)

Pavol Bauer (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/PEMC48073.2021.9432573 Final published version
More Info
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Publication Year
2021
Language
English
Research Group
DC systems, Energy conversion & Storage
Article number
9432573
Pages (from-to)
225-230
ISBN (print)
978-1-7281-5661-3
ISBN (electronic)
978-1-7281-5660-6
Event
2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)<br/> (2021-04-25 - 2021-04-29), The Silesian University of Technology, Online Conference/Gliwice, Poland
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201

Abstract

Different advanced sensorless techniques have been proposed based on the model reference adaptive system (MRAS) principle to make the interior permanent magnet synchronous motor (IPMSM) drives mechanically more robust. However, in the special application such as high-power traction systems, the difference between the switching frequency and the calculation frequency is large, and the inconsistency between the command voltage and the actual voltage will affect the accuracy of the MARS estimator. To overcome such a drawback, this paper proposes a novel voltage reconstruction method to improve the accuracy of the MRAS estimator. Simulations and experiments are conducted to verify the effectiveness of the proposed method. Combining with the proposed algorithm, the problem of the inconsistency can be solved, and an accurate rotation estimation can be realized.