Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Niklas Himker
  • Georg Lindemann
  • Axel Mertens
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9798350335422
ISBN (Print)9798350335439
PublikationsstatusVeröffentlicht - 2023
Veranstaltung2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023 - Seoul, Südkorea
Dauer: 16 Aug. 202318 Aug. 2023

Abstract

A mutual inductance between the d-axis and q-axis leads to a stationary rotor position estimation error in a self-sensing control (SSC). In this paper, two methods to compensate the rotor position estimation error are compared. It is found that by considering the mutual inductance in an estimator for SSC based on numerical optimisation, the mutual inductance can be used as an source of information. Thus, the critical point, where the difference between the d-axis and q-axis inductances vanishes, can be operated with high position estimation quality in the presence of a mutual inductance. This is not possible with other methods for compensating the rotor position estimation error which are widely used in the literature.

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Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control. / Himker, Niklas; Lindemann, Georg; Mertens, Axel.
2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc., 2023.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Himker, N, Lindemann, G & Mertens, A 2023, Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control. in 2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023, Seoul, Südkorea, 16 Aug. 2023. https://doi.org/10.1109/SLED57582.2023.10261365
Himker, N., Lindemann, G., & Mertens, A. (2023). Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control. In 2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SLED57582.2023.10261365
Himker N, Lindemann G, Mertens A. Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control. in 2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc. 2023 doi: 10.1109/SLED57582.2023.10261365
Himker, Niklas ; Lindemann, Georg ; Mertens, Axel. / Comparison of Different Compensation Methods of the Mutual Inductance for Self-Sensing Control. 2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc., 2023.
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abstract = "A mutual inductance between the d-axis and q-axis leads to a stationary rotor position estimation error in a self-sensing control (SSC). In this paper, two methods to compensate the rotor position estimation error are compared. It is found that by considering the mutual inductance in an estimator for SSC based on numerical optimisation, the mutual inductance can be used as an source of information. Thus, the critical point, where the difference between the d-axis and q-axis inductances vanishes, can be operated with high position estimation quality in the presence of a mutual inductance. This is not possible with other methods for compensating the rotor position estimation error which are widely used in the literature.",
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AU - Himker, Niklas

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N1 - Funding Information: ACKNOWLEDGEMENT This work was funded by the Deutsche Forschungsge-meinschaft (DFG, German Research Foundation) – project identification number 424944120.

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