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Title: Precise analytical modelling magnetic characteristics of switched reluctance motor drives using two-dimensional least squares
Authors: Xue, Xiangdang
Cheng, K. W. Eric
Ho, Siu-lau
Sutanto, Danny
Subjects: Computer simulation
Curve fitting
Least squares approximations
Magnetic properties
Polynomials
Switching systems
Torque control
Issue Date: 2003
Publisher: IEEE
Citation: PESC'03 : 2003 IEEE 34th Annual Power Electronics Specialists Conference : Acapulco, Mexico, June 15-19, 2003 : conference proceedings, p. 416-421.
Abstract: The precise analytical modeling magnetic characteristics in the switched reluctance motors is presented in this study, based on the two-dimensional least squares. The proposed precise modelling is the analytical expression with respect to both the rotor position and the current. The coefficients in the expression are determined by the two-dimensional least squares method. The derivations of the modelling are described in detail. Furthermore, the effect of the degree number of the fitting polynomials on the fitting errors is discussed. The fitting curves from the proposed modelling are fully in agreement with ones from the experiment. It validates the proposed modelling. This study is very helpful for accurate prediction of performance, simulation, torque control, as well as sensorless control of the switched reluctance motor drives.
Rights: © 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1259
ISSN: 0780377540
Appears in Collections:EE Conference Papers & Presentations

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