Optimization and Evaluation of Torque-Sharing Functions for Torque Ripple Minimization in Switched Reluctance Motor Drives

被引:267
|
作者
Xue, X. D. [1 ]
Cheng, K. W. E. [1 ]
Ho, S. L. [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
关键词
Genetic algorithm (GA); optimization; switched reluctance motor (SRM) drives; torque control; torque ripple minimization (TRM); torque-sharing function (TSF); MAGNETIC CHARACTERISTICS; NUMERICAL-METHOD;
D O I
10.1109/TPEL.2009.2019581
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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.
引用
收藏
页码:2076 / 2090
页数:15
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