DocumentCode :
1357786
Title :
Optimization and Evaluation of Torque-Sharing Functions for Torque Ripple Minimization in 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., Kowloon, China
Volume :
24
Issue :
9
fYear :
2009
Firstpage :
2076
Lastpage :
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 proposed TRM control 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.
Keywords :
genetic algorithms; machine control; reluctance motor drives; torque control; copper loss; genetic algorithm; overlap angle; switched reluctance motor drives; torque ripple minimization; torque sharing functions; turn on angle; Commutation; Copper; Drives; Genetic algorithms; Minimization methods; Polynomials; Reluctance machines; Reluctance motors; Torque control; Transmission line measurements; Genetic algorithm (GA); optimization; switched reluctance motor (SRM) drives; torque control; torque ripple minimization (TRM); torque-sharing function (TSF);
fLanguage :
English
Journal_Title :
Power Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8993
Type :
jour
DOI :
10.1109/TPEL.2009.2019581
Filename :
5223997
Link To Document :
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