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引用次数: 6
摘要
开关磁阻电机(SRM)的一个主要问题是转矩脉动,它会引起不良的噪声和振动。这是由定子和转子的突出引起的。本文提出了一种基于遗传算法(GA)的减小扭矩下降的新方法。从而减少相关的转矩波动,同时增加使用遗传算法的转矩输出。通过最大化磁链和电感比,并将结果与标准8/6极,4相,1 KW, 100 V, 25 a, 1500 rpm的SRM产生的结果进行比较。所得结果令人鼓舞,并通过有限元分析(FEA)进行了验证。
Minimization of torque ripple in switched reluctance machine for direct drive applications
A major problem of switched reluctance motors (SRM) is the torque ripple, which causes undesirable acoustic noise and vibration. If 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 8/6 pole, 4 phase, 1 KW, 100 V, 25 A.1500 rpm SRM. The obtained results are encouraging and verified using finite element analysis (FEA).