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Performance Analysis of Tri-state Boost and Buck-Boost Converters for Impedance Matching Circuits

  • Ahmed Shawky*
  • , Mokhtar Aly
  • , Ahmed Elsanabary
  • , Jos´e Rodriguez
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Tri-state boost and buck-boost converters are proposed as unique topologies to address the right-half-plane (RHP) zero issue present in conventional boost and buck-boost converters, which adversely affects system dynamics and overall stability. This is achieved by introducing an additional operating mode, known as the inductor freewheeling mode, in the Continuous Conduction Mode (CCM) of these converters. This added mode creates an opportunity to use these converters in impedancematching circuits by treating the main and freewheeling duty cycles as two degrees of freedom for control. Therefore, this paper presents the analysis and performance of tri-state boost and buck-boost converters operating in CCM, with a focus on their use of two degrees of freedom for impedance-matching applications. The equivalent input and output resistances of these converters are analytically derived with respect to both the main and freewheeling duty cycles to evaluate the extended control range provided by the additional freewheeling duty and its potential application in impedance-matching circuits. The results are validated using PSIM simulations. Finally, a comprehensive comparison with conventional converters is conducted to enable a more thorough performance assessment.

Original languageEnglish
JournalProceedings of the International Middle East Power System Conference, MEPCON
Issue number2025
DOIs
StatePublished - 2025
Event26th International Middle East Power Systems Conference, MEPCON 2025 - Aswan, Egypt
Duration: 20 Dec 202522 Dec 2025

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • Buck-boost converters
  • boost converter
  • continuous conduction mode (CCM)
  • impedance matching

ASJC Scopus subject areas

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

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