Please use this identifier to cite or link to this item:
Title: Optimization and evaluation of torque-sharing functions for torque ripple minimization in switched reluctance motor drives
Authors: Xue, Xiangdang
Cheng, K. W. Eric
Ho, Siu-lau
Subjects: Genetic algorithm (GA)
Switched reluctance motor (SRM) drives
Torque control
Torque ripple minimization (TRM)
Torque-sharing function (TSF)
Issue Date: Sep-2009
Publisher: IEEE
Source: IEEE transactions on power electronics, Sept. 2009, v. 24, no. 9, p. 2076-2090.
Abstract: Two improved torque-sharing functions for implementing torque ripple minimization (TRM) control are presented in this paper. The proposed torque-sharing functions are dependent on the turn-on angle, overlap angle, and the expected torque. This study shows that for a given torque the turn-on angle and the overlap angle have significant effects upon speed range, maximum speed, copper loss, and efficiency. Hence, genetic algorithm is used to optimize the turn-on angle and the overlap angle at various expected torque demands operating under the proposedTRMcontrol in order to maximize the speed range and minimize the copper loss. Furthermore, four torque-sharing functions are used to derive the optimized results. At the same time, a fast and accurate online approach to compute the optimal turn-on and overlap angles is proposed. Therefore, this paper provides a valuable method to improve the performances of switched reluctance motor drives operating under TRM control.
Rights: © 2009 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: Journal/Magazine Article
DOI: 10.1109/TPEL.2009.2019581
ISSN: 0885-8993
Appears in Collections:EE Journal/Magazine Articles

Files in This Item:
File Description SizeFormat 
Optimization and Evaluation of TSFs for TRM in SRM Drives_09.pdf677.32 kBAdobe PDFView/Open

All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated. No item in the PolyU IR may be reproduced for commercial or resale purposes.