A novel large-signal stability analysis approach based on semi-tensor product of matrices with Lyapunov stability theorem for DC-DC converters

  • Hong Li
  • , Fang Ren
  • , Jianing Shang
  • , Bo Zhang
  • , Jinhu Lu
  • , Hongsheng Qi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Due to the nonlinearity of DC-DC converters, small-signal methods do not guarantee the stability of DC-DC converters under any large-signal disturbances. In this paper, semi-tensor product of matrices with Lyapunov stability theorem is firstly adopted for analyzing the large-signal stability of DC-DC converters. A buck converter with proportional-integral (PI) controller is used as an example. Based on the Lyapunov stability theorem and the state equation of the buck converter, a positive-definite Lyapunov function including a nonlinear integral of type Lurie is adopted in this paper. Moreover, the large-signal stability criteria of the buck converter, namely, the condition for ensuring the negative definiteness of the derivative of the Lyapunov function is obtained based on semi-tensor product of matrices. Finally, simulation and experimental results are given to verify the correctness of the large-signal stability analysis approach based on semi-tensor product of matrices with Lyapunov stability theorem.

Original languageEnglish
Title of host publicationECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509007370
DOIs
StatePublished - 2016
Externally publishedYes
Event2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016 - Milwaukee, United States
Duration: 18 Sep 201622 Sep 2016

Publication series

NameECCE 2016 - IEEE Energy Conversion Congress and Exposition, Proceedings

Conference

Conference2016 IEEE Energy Conversion Congress and Exposition, ECCE 2016
Country/TerritoryUnited States
CityMilwaukee
Period18/09/1622/09/16

Keywords

  • DC-DC converters
  • Lyapunov stability theorem
  • large-signal stability
  • semi-tensor product of matrices

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