Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM

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 Sammelwerks2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seitenumfang6
ISBN (elektronisch)978-1-7281-0766-0
ISBN (Print)978-1-7281-0767-7
PublikationsstatusVeröffentlicht - 2019
Veranstaltung10th IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2019 - Turin, Italien
Dauer: 9 Sept. 201910 Sept. 2019

Publikationsreihe

NameSymposium on Sensorless Control for Electrical Drives
ISSN (Print)2166-6725
ISSN (elektronisch)2166-6733

Abstract

This paper presents a novel approach to evaluate an anisotropy-based position estimation of Permanent Magnet Synchronous Machines (PMSM) using a Field-Programmable Gate Array (FPGA) and current oversampling. Thus, the slopes of the passive and active switching states of the inverter are calculated. Using the observer as described in previous work, the position of the PMSM is evaluated by comparison of the measured and predicted current slopes. The novel approach in this paper is an iterative tracker to evaluate the adaption law. The tracker improves the transient response of the observer. Additionally, an adjustment procedure for the iterative tracker is introduced, which is based on an analytical description of the observer.

ASJC Scopus Sachgebiete

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Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM. / Himker, Niklas; Lindemann, Georg; Mertens, Axel.
2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc., 2019. 8896230 (Symposium on Sensorless Control for Electrical Drives).

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

Himker, N, Lindemann, G & Mertens, A 2019, Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM. in 2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED)., 8896230, Symposium on Sensorless Control for Electrical Drives, Institute of Electrical and Electronics Engineers Inc., 10th IEEE International Symposium on Sensorless Control for Electrical Drives, SLED 2019, Turin, Italien, 9 Sept. 2019. https://doi.org/10.1109/SLED.2019.8896230
Himker, N., Lindemann, G., & Mertens, A. (2019). Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM. In 2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED) Artikel 8896230 (Symposium on Sensorless Control for Electrical Drives). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SLED.2019.8896230
Himker N, Lindemann G, Mertens A. Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM. in 2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc. 2019. 8896230. (Symposium on Sensorless Control for Electrical Drives). doi: 10.1109/SLED.2019.8896230
Himker, Niklas ; Lindemann, Georg ; Mertens, Axel. / Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM. 2019 IEEE 10th International Symposium on Sensorless Control for Electrical Drives (SLED). Institute of Electrical and Electronics Engineers Inc., 2019. (Symposium on Sensorless Control for Electrical Drives).
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title = "Iterative Tracker for Anisotropy-Based Self-Sensing Control of PMSM",
abstract = "This paper presents a novel approach to evaluate an anisotropy-based position estimation of Permanent Magnet Synchronous Machines (PMSM) using a Field-Programmable Gate Array (FPGA) and current oversampling. Thus, the slopes of the passive and active switching states of the inverter are calculated. Using the observer as described in previous work, the position of the PMSM is evaluated by comparison of the measured and predicted current slopes. The novel approach in this paper is an iterative tracker to evaluate the adaption law. The tracker improves the transient response of the observer. Additionally, an adjustment procedure for the iterative tracker is introduced, which is based on an analytical description of the observer.",
keywords = "current oversampling, FPGA-based control, iterative tracker, PMSM, self-sensing control",
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N2 - This paper presents a novel approach to evaluate an anisotropy-based position estimation of Permanent Magnet Synchronous Machines (PMSM) using a Field-Programmable Gate Array (FPGA) and current oversampling. Thus, the slopes of the passive and active switching states of the inverter are calculated. Using the observer as described in previous work, the position of the PMSM is evaluated by comparison of the measured and predicted current slopes. The novel approach in this paper is an iterative tracker to evaluate the adaption law. The tracker improves the transient response of the observer. Additionally, an adjustment procedure for the iterative tracker is introduced, which is based on an analytical description of the observer.

AB - This paper presents a novel approach to evaluate an anisotropy-based position estimation of Permanent Magnet Synchronous Machines (PMSM) using a Field-Programmable Gate Array (FPGA) and current oversampling. Thus, the slopes of the passive and active switching states of the inverter are calculated. Using the observer as described in previous work, the position of the PMSM is evaluated by comparison of the measured and predicted current slopes. The novel approach in this paper is an iterative tracker to evaluate the adaption law. The tracker improves the transient response of the observer. Additionally, an adjustment procedure for the iterative tracker is introduced, which is based on an analytical description of the observer.

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