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

Author

Xue, X.D. ; Cheng, K.W.E. ; Ho, S.L.

Author_Institution

Dept. of Electr. Eng., Hong Kong Polytech. Univ., Tianjin, China

Volume

40

Issue

2

fYear

2004

fDate

3/1/2004 12:00:00 AM

Firstpage

734

Lastpage

737

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.

Keywords

least mean squares methods; magnetic fields; reluctance motor drives; variable speed drives; 2-D orthogonal polynomials; least squares method; magnetic characteristics; polynomial coefficients; self-training numerical method; sensorless control; switched reluctance motor drives; torque prediction; variable speed drives; Computational modeling; Couplings; Least squares methods; Magnetic flux; Magnetic switching; Nonlinear magnetics; Polynomials; Reluctance machines; Reluctance motors; Rotors;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2004.824722

Filename

1284519