A Fast Estimation of Initial Rotor Position for Low-Speed Free-Running IPMSM

Ting Wu, Derong Luo*, Sheng Huang, Xuan Wu, Kan Liu, Kaiyuan Lu, Xiaoyan Peng

*Corresponding author

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)
1 Downloads (Pure)
Original languageEnglish
Article number8928948
JournalIEEE Transactions on Power Electronics
Volume35
Issue number7
Pages (from-to)7664-7673
Number of pages10
ISSN0885-8993
DOIs
Publication statusPublished - Jul 2020

Bibliographical note

Funding Information:
Manuscript received July 17, 2019; revised October 29, 2019; accepted November 27, 2019. Date of publication December 4, 2019; date of current version March 13, 2020. This work was supported in part by the National Key Research and Development Program of China under Grant 2018YFF0212903 and in part by the National Natural Science Foundation of China under Grants 51707062, 51575167, and 51877075. Recommended for publication by Associate Editor T. Shi. (Corresponding author: Derong Luo.) T. Wu, D. Luo, and X. Wu are with the College of Electrical and Information Engineering, Hunan University, Changsha 410006, China (e-mail: wting_tata@hnu.edu.cn; hdldr@sina.com; wuxuan24@163.com).

Publisher Copyright:
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • High-frequency (HF) square-wave voltage injection
  • initial rotor position estimation
  • magnetic polarity detection
  • permanent magnet synchronous motors (PMSMs)
  • sensorless

Fingerprint Dive into the research topics of 'A Fast Estimation of Initial Rotor Position for Low-Speed Free-Running IPMSM'. Together they form a unique fingerprint.

Cite this