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Feedback Control of CLLLC Resonant DC-DC Converter using Deep Reinforcement Learning

  • Oroghene Oboreh-Snapps
  • , Angshuman Sharma
  • , Jonathan Saelens
  • , Arnold Fernandes
  • , Sophia A. Strathman
  • , Lauryn Morris
  • , Praneeth Uddarraju
  • , Jonathan W. Kimball
  • Burns & McDonnell Engineering Company, Inc.
  • TDK-Lambda Americas
  • Missouri University of Science and Technology

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

Original languageEnglish
Title of host publication2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4423-4430
Number of pages8
ISBN (Electronic)9798350376067
DOIs
StatePublished - 2024
Event2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Phoenix, United States
Duration: Oct 20 2024Oct 24 2024

Publication series

Name2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024 - Proceedings

Conference

Conference2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024
Country/TerritoryUnited States
CityPhoenix
Period10/20/2410/24/24

ASJC Scopus Subject Areas

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

Keywords

  • CLLLC Resonant Converter
  • DC-DC Converter Control
  • Deep Reinforcement Learning
  • TD3 Agent
  • Voltage Gain Equation

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