A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Autoren

  • Niklas Himker
  • Georg Lindemann
  • Karsten Wiedmann
  • Bastian Weber
  • Axel Mertens

Organisationseinheiten

Externe Organisationen

  • Siemens AG
  • Volkswagen AG
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seiten (von - bis)1946-1962
Seitenumfang17
FachzeitschriftIEEE Journal of Emerging and Selected Topics in Power Electronics
Jahrgang10
Ausgabenummer2
PublikationsstatusVeröffentlicht - 10 März 2021

Abstract

This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.

ASJC Scopus Sachgebiete

Zitieren

A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method. / Himker, Niklas; Lindemann, Georg; Wiedmann, Karsten et al.
in: IEEE Journal of Emerging and Selected Topics in Power Electronics, Jahrgang 10, Nr. 2, 10.03.2021, S. 1946-1962.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Himker N, Lindemann G, Wiedmann K, Weber B, Mertens A. A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method. IEEE Journal of Emerging and Selected Topics in Power Electronics. 2021 Mär 10;10(2):1946-1962. doi: 10.1109/JESTPE.2021.3065211
Himker, Niklas ; Lindemann, Georg ; Wiedmann, Karsten et al. / A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method. in: IEEE Journal of Emerging and Selected Topics in Power Electronics. 2021 ; Jahrgang 10, Nr. 2. S. 1946-1962.
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abstract = "This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.",
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T1 - A Family of Adaptive Position Estimators for PMSM Using the Gradient Descent Method

AU - Himker, Niklas

AU - Lindemann, Georg

AU - Wiedmann, Karsten

AU - Weber, Bastian

AU - Mertens, Axel

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AB - This paper presents an evaluation of a family of Adaptive Position Estimators (APEs) for anisotropy-based Self-Sensing Control (SSC) of Permanent Magnet Synchronous Machine (PMSM). The APEs use the Gradient Descent Method (GDM) to minimise a cost function and thus estimate the rotor position. Three different APEs have been developed in previous work and are revised in this paper. Their dynamic performance is experimentally evaluated and compared with each other and with an encoder-based control using the same test bench. Simplified models are derived that allow an analytic calculation of the individual speed control loop dynamics. The speed control bandwidth using the latest APE reaches almost 50% of when using a 2000 slot incremental encoder. In addition, this version of APE with GDM features parameter tuning based on analytic equations.

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KW - Self-Sensing Control

KW - Vehicle dynamics

KW - self-sensing control (SSC)

KW - field-programmable gate array (FPGA)

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