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  • 标题:Using Multivariate Polynomials to Obtain DC-DC Converter Voltage Gain ⁎
  • 本地全文:下载
  • 作者:Rafael F.Q. Magossi ; Guilherme H.F. Fuzato ; Daniel S. Castro
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:598-603
  • DOI:10.1016/j.ifacol.2020.12.498
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, a data driven approach is used to obtain the static gain of dc-dc power converters in terms of the duty cycle and a set of linear coefficients. A known number of measurements, dependent on the dc-dc converter topology, are used to built-in a rational function obtained by linear coefficients. This solution shows how to use measurements to determine a function to represent the static gain of dc-dc power converters in the continuous-conduction mode (CCM). To validate the proposed approach, PSIM simulations, as well as experimental results are presented. The analysis was performed with a Interleaved Boost with Voltage Multiplier (IBVM) converter. Finally, the proposed approach is shown to be an alternative to the classical scanning methods or to the conventional solution of differential equations.
  • 关键词:KeywordsModel approximationpower cirtuitspower electronicspolynomial modelsdata driven
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