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首页> 外文期刊>Electric Power Applications, IET >Unbalanced normal force reduction in the eccentric double-sided linear switched reluctance machine
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Unbalanced normal force reduction in the eccentric double-sided linear switched reluctance machine

机译:偏心双面线性开关磁阻电机的不平衡法向力减小

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摘要

This paper presents a novel control method for unbalanced normal force (UNF) reduction in the eccentric double-sided linear switched reluctance machine (DLSRM). Online detection of the DLSRM eccentricity is investigated via magnetic circuit analysis as well as finite element method. It is shown that the DLSRM eccentricity is directly proportional to the difference between reciprocal values of winding unsaturated inductances on both sides of the DLSRM mover. In order to improve the accuracy of the eccentricity detection, a new scheme to estimate the winding inductances is proposed on the basis of the voltage pulse injection considering iron losses in the test DLSRM in the laboratory. Afterward, a control algorithm for the UNF reduction, according to the estimated real-time eccentricity, is designed, and the corresponding power converter and flow chart are illustrated in detail. To verify the proposed methods, a prototype experimental platform is developed, and the experimental results confirm that the proposed methods in this study are feasible and effective.
机译:本文提出了一种新颖的控制方法,用于减小偏心双面线性开关磁阻电机(DLSRM)中的不平衡法向力(UNF)。通过磁路分析和有限元方法研究了DLSRM偏心距的在线检测。结果表明,DLSRM偏心度与DLSRM动子两侧的绕组不饱和电感的倒数之间的差值成正比。为了提高偏心率检测的准确性,在实验室DLSRM试验中,考虑了铁损,在电压脉冲注入的基础上,提出了一种估计绕组电感的新方案。然后,根据估计的实时离心率,设计了用于UNF减小的控制算法,并详细说明了相应的功率转换器和流程图。为了验证所提出的方法,开发了一个原型实验平台,实验结果证实了所提出的方法在本研究中是可行和有效的。

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