Fourier series based characterization of switched reluctance motor using runtime data

F. Kucuk, H. Goto, H. J. Guo, Osamu Ichinokura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

High performance applications of SR motors strictly depend on accurate modeling (or characterization), as well as an appropriate torque control strategy. Most of torque control strategies need torque feedback for realization. Nonlinearity between electrical and mechanical terminals makes simple analytical modeling impossible by means of measured quantities. Therefore, estimation of the motor torque is an important issue to work on. There have been some attempts on motor modeling. However, they have drawbacks due to low accuracy or complexity in realtime implementation. This research concentrates on characterization of an SR motor using runtime data and promises to overcome the problems of recent modeling methods. The algorithm is based on Fourier series and presents accurate and simple static torque computation. The method also enables to derive an estimator for instant torque estimation during realtime operation of the SR motor, which is very important for high performance control.

Original languageEnglish
Title of host publication19th International Conference on Electrical Machines, ICEM 2010
DOIs
Publication statusPublished - 2010 Dec 6
Event19th International Conference on Electrical Machines, ICEM 2010 - Rome, Italy
Duration: 2010 Sep 62010 Sep 8

Other

Other19th International Conference on Electrical Machines, ICEM 2010
CountryItaly
CityRome
Period10/9/610/9/8

Keywords

  • Characterization
  • Fourier series
  • Hybrid torque estimator
  • Instant torque estimation
  • Nonlinear modeling
  • Runtime data
  • Switched reluctance motor

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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