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
N1 - Publisher Copyright:
© 2023 IEEE.
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.
KW - FEA
KW - Open science
KW - PMSM
KW - flux-linkage maps
KW - harmonics
KW - multi-phase
KW - parameter identification
UR - http://www.scopus.com/inward/record.url?scp=85172739364&partnerID=8YFLogxK
U2 - 10.1109/IEMDC55163.2023.10238936
DO - 10.1109/IEMDC55163.2023.10238936
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.
T2 - 2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Y2 - 15 May 2023 through 18 May 2023
ER -