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Mathematical model of three-phase Boost converter

  • Zhong Zhang*
  • , Weiming Tong
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

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

Abstract

Now the nonlinear control strategy used by a lot of power electronic converters is not dependent on the mathematical model of the system. They are only based on the error of control variables to control the output voltage or other variables, and this leads to the shortcomings of poor control and not easy to optimize. The fundamental reason is that they are not based on the mathematical model of converter topology structure. This paper presents a new way to build mathematical model. The paper established the unified mathematical model of the three-phase Boost converter topology structure by studied the three-phase Boost converter topology structure deeply and based on the law of conservation of energy and combined with small-signal modeling analysis method, and done the systematic analysis for it. The analysis method is also applicable to other converter topology, such as the buck, buck-boost, etc., and the model not only can be used in the controller design, can also provide a theoretical basis for the applications of a new nonlinear control strategy.

Original languageEnglish
Title of host publicationSport, Arts Materials and Management Science
Pages96-100
Number of pages5
DOIs
StatePublished - 2012
Externally publishedYes
EventInternational Conference on Sport, Arts Materials and Management Science, SAMMS 2012 - Chongqing, China
Duration: 4 May 20126 May 2012

Publication series

NameAdvanced Materials Research
Volume507
ISSN (Print)1022-6680

Conference

ConferenceInternational Conference on Sport, Arts Materials and Management Science, SAMMS 2012
Country/TerritoryChina
CityChongqing
Period4/05/126/05/12

Keywords

  • Converter
  • Mathematical modeling
  • Negative response
  • Non-minimum phase system
  • Small signal modeling

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