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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Niklas Himker
  • Georg Lindemann
  • Axel Mertens
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Details

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Sensorless Control for Electrical Drives (SLED)
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (electronic)9798350335422
ISBN (print)9798350335439
Publication statusPublished - 2023
Event2023 IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2023 - Seoul, Korea, Republic of
Duration: 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.

Keywords

    Cross-Coupling, Mutual Inductance, Permanent Magnet Synchronous Machine, Self-Sensing Control

ASJC Scopus subject areas

Cite this

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.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer 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, Korea, Republic of, 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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