Constant-on-time-Controlled Buck Converter using Switching Period Estimator

Chin Hsia*

*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper presents a novel control method for constant on-time (COT) buck converters. The converter employs a high-accuracy switching period estimator in conjunction with a constant on-time generator to stabilize the system, eliminating the need for inductor current sensing or particular ripple injection. The proposed switching period estimator can adaptively adjust the switching frequency according to the load conditions, enabling high-speed output voltage regulation. Since there is no need to sense current nor any offset compensation, system complexity is reduced and efficiency is improved. A 3.3V input, 1.8V output buck converter designed using the proposed control method has been validated for various output current capabilities. The performance shows a maximum output voltage ripple of 20 mV, and recovery fall and rise times of 3.9 μsec and 4.8 μsec, respectively, under a 500 mA load change. The peak efficiency is >95% and the maximum undershoot and overshoot voltages are 49 mV and 57 mV, respectively.

Original languageEnglish
Title of host publication2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages858-862
Number of pages5
ISBN (Electronic)9781665443579
DOIs
StatePublished - 2022
Event1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022 - Virtual, Arad, Romania
Duration: 20 05 202222 05 2022

Publication series

Name2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022

Conference

Conference1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022
Country/TerritoryRomania
CityVirtual, Arad
Period20/05/2222/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • DC-DC converter
  • constant-on-time
  • regulation
  • ripple

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