Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines

Michael Hoerner; Valentin Hoppe; Timo Wilfling; Armin Dietz; Petros Karamanakos; Ralph Kennel

doi:10.1109/IEMDC55163.2023.10238936

Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines

Michael Hoerner, Valentin Hoppe, Timo Wilfling, Armin Dietz, Petros Karamanakos, Ralph Kennel

Chair of High-Power Converter Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents and assesses parameter estimation methods for multi-phase permanent magnet synchronous machines. More specifically, three different methods are considered, namely, a step-response method for identifying the stator resistance and absolute inductance values, a Fourier analysis-based method to obtain the harmonics in the permanent magnet flux-linkage, and a methodology to acquire the flux-linkage maps. To verify the effectiveness of the methods in question, experimental tests based on a six-phase PMSM drive are performed, and the results are compared with those acquired with finite-element-analysis simulations. Finally, to promote open science and make the findings of this work publicly available, all results are published within the open-source UltraZohm project.

Original language	English
Title of host publication	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350398991
DOIs	https://doi.org/10.1109/IEMDC55163.2023.10238936
State	Published - 2023
Event	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023 - San Francisco, United States Duration: 15 May 2023 → 18 May 2023

Publication series

Name	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023

Conference

Conference	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Country/Territory	United States
City	San Francisco
Period	15/05/23 → 18/05/23

Keywords

FEA
Open science
PMSM
flux-linkage maps
harmonics
multi-phase
parameter identification

Access to Document

10.1109/IEMDC55163.2023.10238936

Cite this

Hoerner, M., Hoppe, V., Wilfling, T., Dietz, A., Karamanakos, P., & Kennel, R. (2023). Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines. In 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023 (2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IEMDC55163.2023.10238936

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title = "Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines",

abstract = "This paper presents and assesses parameter estimation methods for multi-phase permanent magnet synchronous machines. More specifically, three different methods are considered, namely, a step-response method for identifying the stator resistance and absolute inductance values, a Fourier analysis-based method to obtain the harmonics in the permanent magnet flux-linkage, and a methodology to acquire the flux-linkage maps. To verify the effectiveness of the methods in question, experimental tests based on a six-phase PMSM drive are performed, and the results are compared with those acquired with finite-element-analysis simulations. Finally, to promote open science and make the findings of this work publicly available, all results are published within the open-source UltraZohm project.",

keywords = "FEA, Open science, PMSM, flux-linkage maps, harmonics, multi-phase, parameter identification",

author = "Michael Hoerner and Valentin Hoppe and Timo Wilfling and Armin Dietz and Petros Karamanakos and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023 ; Conference date: 15-05-2023 Through 18-05-2023",

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doi = "10.1109/IEMDC55163.2023.10238936",

language = "English",

series = "2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023",

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

booktitle = "2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023",

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Hoerner, M, Hoppe, V, Wilfling, T, Dietz, A, Karamanakos, P & Kennel, R 2023, Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines. in 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023. 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023, San Francisco, United States, 15/05/23. https://doi.org/10.1109/IEMDC55163.2023.10238936

Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines. / Hoerner, Michael; Hoppe, Valentin; Wilfling, Timo et al.
2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines

AU - Hoerner, Michael

AU - Hoppe, Valentin

AU - Wilfling, Timo

AU - Dietz, Armin

AU - Karamanakos, Petros

AU - Kennel, Ralph

PY - 2023

Y1 - 2023

N2 - This paper presents and assesses parameter estimation methods for multi-phase permanent magnet synchronous machines. More specifically, three different methods are considered, namely, a step-response method for identifying the stator resistance and absolute inductance values, a Fourier analysis-based method to obtain the harmonics in the permanent magnet flux-linkage, and a methodology to acquire the flux-linkage maps. To verify the effectiveness of the methods in question, experimental tests based on a six-phase PMSM drive are performed, and the results are compared with those acquired with finite-element-analysis simulations. Finally, to promote open science and make the findings of this work publicly available, all results are published within the open-source UltraZohm project.

AB - This paper presents and assesses parameter estimation methods for multi-phase permanent magnet synchronous machines. More specifically, three different methods are considered, namely, a step-response method for identifying the stator resistance and absolute inductance values, a Fourier analysis-based method to obtain the harmonics in the permanent magnet flux-linkage, and a methodology to acquire the flux-linkage maps. To verify the effectiveness of the methods in question, experimental tests based on a six-phase PMSM drive are performed, and the results are compared with those acquired with finite-element-analysis simulations. Finally, to promote open science and make the findings of this work publicly available, all results are published within the open-source UltraZohm project.

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KW - Open science

KW - PMSM

KW - flux-linkage maps

KW - harmonics

KW - multi-phase

KW - parameter identification

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M3 - Conference contribution

AN - SCOPUS:85172739364

T3 - 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023

BT - 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023

PB - Institute of Electrical and Electronics Engineers Inc.

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Hoerner M, Hoppe V, Wilfling T, Dietz A, Karamanakos P, Kennel R. Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines. In 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023). doi: 10.1109/IEMDC55163.2023.10238936

Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines

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