Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses

Niklas Himker; Marcel Krümpelmann; Axel Mertens

Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses

Niklas Himker^*
, Marcel Krümpelmann
, Axel Mertens

^*Korrespondierende*r Autor*in für diese Arbeit

Institut für Antriebssysteme und Leistungselektronik

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

Abstract

For a current measurement with the goals of a high bandwidth and a high sampling rate, a filter with minimal phase shift is proposed. The filter is analytically derived using the differential equation of an induction machine (IM) model and is based on the difference in the stator current behaviour of machines with and without iron losses. To use this filter, only two parameters need to be set.

Originalsprache	Englisch
Titel des Sammelwerks	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seitenumfang	10
ISBN (elektronisch)	9789075815399
ISBN (Print)	978-1-6654-8700-9
Publikationsstatus	Veröffentlicht - 2022
Veranstaltung	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Deutschland Dauer: 5 Sept. 2022 → 9 Sept. 2022

Konferenz

Konferenz	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Land/Gebiet	Deutschland
Ort	Hanover
Zeitraum	5 Sept. 2022 → 9 Sept. 2022

ASJC Scopus Sachgebiete

Energieanlagenbau und Kraftwerkstechnik
Elektrotechnik und Elektronik

Zugriff auf Dokument

https://ieeexplore.ieee.org/document/9907731

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

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title = "Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses",

abstract = "For a current measurement with the goals of a high bandwidth and a high sampling rate, a filter with minimal phase shift is proposed. The filter is analytically derived using the differential equation of an induction machine (IM) model and is based on the difference in the stator current behaviour of machines with and without iron losses. To use this filter, only two parameters need to be set.",

keywords = "AC machine, Current sensor, Field Programmable Gate Array, Vector control",

author = "Niklas Himker and Marcel Kr{\"u}mpelmann and Axel Mertens",

note = "Funding Information: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project identification number 424944120. ; 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe ; Conference date: 05-09-2022 Through 09-09-2022",

year = "2022",

language = "English",

isbn = "978-1-6654-8700-9",

booktitle = "24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

}

Himker, N, Krümpelmann, M & Mertens, A 2022, Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses. in 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe. Institute of Electrical and Electronics Engineers Inc., 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe, Hanover, Deutschland, 5 Sept. 2022. <https://ieeexplore.ieee.org/document/9907731>

Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses. / Himker, Niklas; Krümpelmann, Marcel; Mertens, Axel.
24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe. Institute of Electrical and Electronics Engineers Inc., 2022.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review

TY - GEN

T1 - Low Phase Shift Filter for Current Sensing based on the Difference between AC Machine Models with and without Iron Losses

AU - Himker, Niklas

AU - Krümpelmann, Marcel

AU - Mertens, Axel

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

PY - 2022

Y1 - 2022

N2 - For a current measurement with the goals of a high bandwidth and a high sampling rate, a filter with minimal phase shift is proposed. The filter is analytically derived using the differential equation of an induction machine (IM) model and is based on the difference in the stator current behaviour of machines with and without iron losses. To use this filter, only two parameters need to be set.

AB - For a current measurement with the goals of a high bandwidth and a high sampling rate, a filter with minimal phase shift is proposed. The filter is analytically derived using the differential equation of an induction machine (IM) model and is based on the difference in the stator current behaviour of machines with and without iron losses. To use this filter, only two parameters need to be set.

KW - AC machine

KW - Current sensor

KW - Field Programmable Gate Array

KW - Vector control

UR - https://www.scopus.com/pages/publications/85141576433

M3 - Conference contribution

AN - SCOPUS:85141576433

SN - 978-1-6654-8700-9

BT - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe

Y2 - 5 September 2022 through 9 September 2022

ER -