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

^*Corresponding author for this work

Institute of Drive Systems and Power Electronics

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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.

Original language	English
Title of host publication	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	10
ISBN (Electronic)	9789075815399
ISBN (Print)	978-1-6654-8700-9
Publication status	Published - 2022
Event	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Germany Duration: 5 Sept 2022 → 9 Sept 2022

Conference

Conference	24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Country/Territory	Germany
City	Hanover
Period	5 Sept 2022 → 9 Sept 2022

Keywords

AC machine
Current sensor
Field Programmable Gate Array
Vector control

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

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

Cite this

@inproceedings{e4e2c493e6d148d98a0458aee8fd8170,

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, Germany, 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.

Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › 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 -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this