Parameter Identification Methods for Multi-Phase Permanent Magnet Synchronous Machines

被引：0

作者：

Hoerner, Michael ^{[1
,2
]}

Hoppe, Valentin ^{[2
]}

Wilfling, Timo ^{[2
]}

Dietz, Armin ^{[2
]}

Karamanakos, Petros ^{[3
]}

Kennel, Ralph ^{[1
]}

机构：

[1] Tech Univ Munich, Chair Elect Dr Syst & Power Elect, Munich, Germany

[2] Tech Hsch Nuremberg, Inst ELSYS, Nurnberg, Germany

[3] Tampere Univ, Fac Informat Technol & Commun Sci, Tampere, Finland

来源：

2023 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE, IEMDC | 2023年

关键词：

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

D O I：

10.1109/IEMDC55163.2023.10238936

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：7

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