Multifrequency spiral vector model for the brushless doubly-fed induction machine

Peng Han, Ming Cheng, Xinkai Zhu, Zhe Chen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

7 Citations (Scopus)

Abstract

This paper presents a multifrequency spiral vector model for both steady-state and dynamic performance analysis of the brushless doubly-fed induction machine (BDFIM) with a nested-loop rotor. Winding function theory is first employed to give a full picture of the inductance characteristics analytically, revealing the underlying relationship between harmonic components of stator-rotor mutual inductances and the airgap magnetic field distribution. Different from existing vector models, which only model the fundamental components of mutual inductances, the proposed vector model takes into consideration the low-order space harmonic coupling by incorporating nonsinusoidal inductances into modeling process. A new model order reduction approach is then proposed to transform the nested-loop rotor into an equivalent single-loop one. The effectiveness of the proposed modelling method is verified by 2D finite element analysis (2D-FEA).
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Electric Machines and Drives Conference (IEMDC)
Number of pages8
PublisherIEEE Press
Publication dateMay 2017
ISBN (Electronic)978-1-5090-4281-4
DOIs
Publication statusPublished - May 2017
Event2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017 - Miami, United States
Duration: 21 May 201724 May 2017

Conference

Conference2017 IEEE International Electric Machines and Drives Conference, IEMDC 2017
Country/TerritoryUnited States
CityMiami
Period21/05/201724/05/2017

Keywords

  • Analytical
  • Brushless doubly-fed induction machine (BDFIM)
  • Modeling
  • Model order reduction
  • Spiral vector

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