A self-training numerical method to calculate the magnetic characteristics for switched reluctance motor drives

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)

Abstract

Based on the two-dimensional (2-D) least squares method, this paper presents a novel numerical method to calculate the magnetic characteristics for switched reluctance motor drives. In this method, the 2-D orthogonal polynomials are used to model the magnetic characteristics. The coefficients in these polynomials are determined by the 2-D least squares method. These coefficients can be computed off line and can also be trained on line. The computed results agree well with the experimental results. In addition, the effect of the order number of the polynomials on the computation errors is discussed. The proposed method is very helpful in torque prediction, simulation studies and development of sensorless control of switched reluctance motor drives.
Original languageEnglish
Pages (from-to)734-737
Number of pages4
JournalIEEE Transactions on Magnetics
Volume40
Issue number2 II
DOIs
Publication statusPublished - 1 Mar 2004

Keywords

  • Least squares methods
  • Reluctance motor drives
  • Reluctance motors
  • Variable speed drives

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Physics and Astronomy (miscellaneous)

Cite this