Modeling of basic DC-DC converters

Zilin Li, K. W.E. Cheng, Jiefeng Hu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Three basic dc converters-buck, boost, and buck-boost converter are analyzed in this article. Instead of deriving state-space equations of converters, the averaged models of PWM switch both in CCM and DCM are developed first. The models enable to simplify analysis of dc converters without considering nonlinear PWM switch action. Incorporate PWM switch models into power stage circuits, steady-state and small-signal models of the converters can be obtained both in CCM and DCM. The criteria of judging DCM of dc converters are also developed. Finally. small-signal models are verified by comparing frequency response from small-signal model and that from PSIM AC Sweep simulation.

Original languageEnglish
Title of host publication2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
EditorsK.W. Eric Cheng
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538613863
DOIs
Publication statusPublished - 31 Jan 2018
Event7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017 - Hong Kong, Hong Kong
Duration: 12 Dec 201714 Dec 2017

Publication series

Name2017 7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
Volume2018-January

Conference

Conference7th International Conference on Power Electronics Systems and Applications - Smart Mobility, Power Transfer and Security, PESA 2017
CountryHong Kong
CityHong Kong
Period12/12/1714/12/17

Keywords

  • dc converters
  • frequency response
  • PSIM AC Sweep
  • PWM switch model
  • small-signal model

ASJC Scopus subject areas

  • Artificial Intelligence
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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