Derivation and Analysis of New Small-Signal Model for Active Clamp Forward Converter

Dongheon Lee, Yonghan Kang, Byungcho Choi, Honnyong Cha

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

Abstract

Active clamp forward converter (ACFC) is widely used for low-voltage and high-current applications. Despite its extensive usage, the open-loop power stage characteristics of the converter have not been fully investigated and require further analyses. This paper reveals that the power stage dynamics of ACFC are different from those of either other buck-derived isolated converters or forward converters with different reset schemes. This paper presents a new small-signal model of the ACFC and provides the factorized expressions of the power stage transfer functions, which carry the useful information on the control design and performance evaluation. The accuracy of the small-signal model and the validity of the factorized transfer functions are verified both SIMPLIS simulations and experimental measurements.

Original languageEnglish
Title of host publication2024 IEEE Applied Power Electronics Conference and Exposition, APEC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages606-611
Number of pages6
ISBN (Electronic)9798350316643
DOIs
StatePublished - 2024
Event39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024 - Long Beach, United States
Duration: 25 Feb 202429 Feb 2024

Publication series

NameConference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
ISSN (Print)1048-2334

Conference

Conference39th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2024
Country/TerritoryUnited States
CityLong Beach
Period25/02/2429/02/24

Keywords

  • active clamp reset
  • forward converter
  • power-stage transfer functions
  • small-signal modeling

Fingerprint

Dive into the research topics of 'Derivation and Analysis of New Small-Signal Model for Active Clamp Forward Converter'. Together they form a unique fingerprint.

Cite this