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  • 标题:A Comparative Study on Modeling Methods for Switched Reluctance Machines
  • 本地全文:下载
  • 作者:Shoujun Song ; Weiguo Liu
  • 期刊名称:Computer and Information Science
  • 印刷版ISSN:1913-8989
  • 电子版ISSN:1913-8997
  • 出版年度:2010
  • 卷号:3
  • 期号:2
  • 页码:205
  • DOI:10.5539/cis.v3n2p205
  • 出版社:Canadian Center of Science and Education
  • 摘要:

    Switched reluctance motor (SRM) has many specific advantages and has being gradually used in all kinds of applications. However, because it’s inherently multivariable, strong-coupling and highly nonlinear, there are lots of difficulties to build its model. In this paper, many modeling methods include numerical, analytical and intelligent approaches are studied and compared in terms of complexity and accuracy. The static flux linkage and torque characteristics obtained by each method are given. The advantages and disadvantages of each method are summarized as well.

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