Runtime data-based characterization and torque estimation of switched reluctance motors

Fuat Kucuk, Hiroki Goto, Hai Jiao Guo, Osamu Ichinokura

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

High-performance control of a switched reluctance (SR) motor strictly requires an accurate nonlinear motor model as well as an appropriate control strategy. Since recent modeling methods are either complex or not accurate enough, this paper focuses on overcoming such drawdacks. An experimental method is proposed to collect useful data for modeling a 6/4 SR motor at running condition. Nonlinear modeling is done by an algorithm, which also enables simple static torque computation. The algorithm presents not only the static torque data but also an estimator model for instantaneous torque estimation during real-time operation, which is very important for most torque control strategies. The nonlinear model is experimantally tested, and its accuracy verified.

Original languageEnglish
Pages (from-to)284-289
Number of pages6
JournalIEEJ Transactions on Electrical and Electronic Engineering
Volume8
Issue number3
DOIs
Publication statusPublished - 2013 Jan 1

Keywords

  • Fourier series
  • Instantaneous torque estimation
  • Runtime data
  • Static torque computation
  • Switched reluctance motor
  • Torque estimator

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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