Resonant filter based buck converters with tunable capacitor

Ben Guo, Suman Dwari, Lee Yongduk, Joseph Mantese, Brian McCabe, Andy Ritter, Craig Nies, Shashank Priya, Khai Ngo, Lujie Zhang, Rolando Burgos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Resonant filters can be beneficial for significant reduction of the filter size in buck converters. Compared to the conventional low-pass filter, the resonant filters can be designed to provide high attenuation to the ripple components near the pulse width modulation (PWM) switching frequency resulting in much smaller filter components. In traditional resonant filter, the high attenuation at a specific frequency cannot be maintained due to the variation of filter components under changing operating conditions. In this paper, a tunable capacitor based resonant filter is introduced for design of the buck converter. The capacitor value can be actively controlled to tune the filter operations near the frequency of interest. Through experiments, compared with the traditional low-pass filter, performances of the proposed tuned resonant filter are demonstrated to achieve equal filtering performance at a much reduced filter size.

Original languageEnglish (US)
Title of host publication2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2036-2042
Number of pages7
ISBN (Electronic)9781509029983
DOIs
StatePublished - Nov 3 2017
Event9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States
Duration: Oct 1 2017Oct 5 2017

Publication series

Name2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume2017-January

Other

Other9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/TerritoryUnited States
CityCincinnati
Period10/1/1710/5/17

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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