Minimum-time within a deviation-constrained hybrid controller for boost converters

Or Kirshenboim, Mor Mordechai Peretz

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

8 Scopus citations

Abstract

This paper introduces a new transient-oriented controller for boost-type converters. The controller incorporates a peak current programmed mode control for steady-state operation and a non-linear, stateplane based transient-mode control for load transients. The new controller facilitate convergence from a loading transient to the new steady-state point within the minimum possible time while constraining the output voltage deviation to a desired (minimal) value. As a result, the loading transient performance of indirect energy transfer converters may be significantly improved since two control objectives (convergence time and undershoot) are simultaneously obtained. A detailed principle of operation of the controller is provided and explained through a stateplane analysis. The operation of the controller is experimentally verified on a 30W 3.3V-to-12V boost converter, demonstrating a significantly lower output voltage deviation and lower peak inductor current when compared to time-optimal control, allowing for volume reduction of the converter.

Original languageEnglish
Title of host publication2015 IEEE 16th Workshop on Control and Modeling for Power Electronics, COMPEL 2015
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781467368476
DOIs
StatePublished - 1 Sep 2015
Event16th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2015 - Vancouver, Canada
Duration: 12 Jul 201515 Jul 2015

Publication series

Name2015 IEEE 16th Workshop on Control and Modeling for Power Electronics, COMPEL 2015

Conference

Conference16th IEEE Workshop on Control and Modeling for Power Electronics, COMPEL 2015
Country/TerritoryCanada
CityVancouver
Period12/07/1515/07/15

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Modeling and Simulation

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