Minimization of torque ripple in switched reluctance machine for direct drive applications

被引:4
作者
Naayagi, RT [1 ]
Kamaraj, V [1 ]
机构
[1] Sri Venkateswara Coll Engn, Dept Elect & Elect Engn, Sriperumbudur 602105, Tamil Nadu, India
来源
IEEE: 2005 INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES, PROCEEDINGS | 2005年
关键词
Finite Element Analysis (FEA); Genetic Algorithm (GA); Switched Reluctance Machine (SRM); torque ripple minimization;
D O I
10.1109/ICET.2005.1558913
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A major problem of Switched Reluctance Motors (SRM) is the Torque ripple, which causes undesirable acoustic noise and vibration. It is caused by saliency of the stator and rotor. In this paper, a novel method on the basis of Genetic Algorithm (GA) is proposed to reduce the torque dip, thereby reducing the associated torque ripple. with simultaneous increase in Torque output using GA by maximizing the flux linkage and inductance ratio and the results are compared with that produced by a standard 816 pole, 4 phose, 1KW, 100V, 25A, 1500rpm SRM. The obtained results are encouraging and verified using Finite Element Analysis (FEA).
引用
收藏
页码:388 / 392
页数:5
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