An assistant-mover-based position estimation method for planar switched reluctance motors

Guang Zhong Cao, Hong Jin Hu, Su Dan Huang, Jun Di Sun, Jiangbiao He

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

An accurate mover position is important for a planar switched reluctance motor (PSRM) to achieve precision positioning; however, position sensors are susceptible to the influence from harsh conditions and are relatively expensive. In this article, an assistant-mover-based position estimation method is proposed to increase the reliability and reduce the cost of a PSRM system. The method is based on a mapping relationship between the flux density and position of the assistant mover. First, the configuration of the assistant movers is presented. Then, an analytical model of the flux density of the assistant mover is developed by using an equivalent magnetic circuit method. Based on the analytical model, the parameters of the assistant mover are determined. According to the flux density characteristics, a position estimation algorithm with the advantages of not requiring previous experimental data, simple computation, and small memory consumption is developed. Moreover, considering the deviation in the characteristics of each assistant mover, a compensation strategy is proposed to obtain better position estimation accuracy. Finally, the proposed method is implemented with the PSRM system. The effectiveness of the proposed position estimation method is verified experimentally.

Original languageEnglish
Article number8863116
Pages (from-to)6066-6077
Number of pages12
JournalIEEE Transactions on Industrial Electronics
Volume67
Issue number7
DOIs
StatePublished - Jul 2020

Bibliographical note

Publisher Copyright:
© 1982-2012 IEEE.

Keywords

  • Assistant mover
  • Hall sensor
  • planar switched reluctance motor (PSRM)
  • position estimation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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