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  • 标题:A Review on Parameters Identification Methods for Asynchronous Motor
  • 本地全文:下载
  • 作者:Xing Zhan ; Guohui Zeng ; Jin Liu
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2015
  • 卷号:6
  • 期号:1
  • DOI:10.14569/IJACSA.2015.060115
  • 出版社:Science and Information Society (SAI)
  • 摘要:The decoupling of excitation current and torque current is realized by Vector control so that the speed regulating performance of asynchronous motor is comparable with that of dc motor. The control precision is directly affected by accuracy of parameter identification in asynchronous motor. In this paper, based on the existing literatures, the existed parameters identification methods both online and offline are analyzed and compared, and the advantages and disadvantages of the various algorithms are listed it tables. Therefore, a comprehensive identification method of adjustable model which makes the least square method as adaptive method of model reference is presented. Finally, the outlook of developing direction for parameters identification of asynchronous motor are put forward to.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Vector control; Parameters identification; MRAS; the least square method
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