FCS-Model Predictive Control of a Quadratic Buck Converter for more Efficient Data Centers

Shirin Azadi, F. Flores-Bahamonde, S. Alireza Davari, C. A. Torres-Pinzon, Andrii Chub, J. Rodriguez

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

Abstract

The energy consumption in Data Centers is increasing faster in the last few years, due to the IoT and big data world market impact. This research applies the finite control set model predictive control (FCS-MPC) to a single-switch quadratic buck converter (QBC) for future data centers. The FCS-MPC can solve the stability problem of QBC without any need for linearization. Designing a stable controller is a challenge, especially in the case when a constant power load is fed. Two control objectives of the proposed controller are voltage and current regulation. Both objectives are satisfied by the proposed method. Fast dynamic response and performance in a wide range of operating points are achieved by this method. The proposed method is verified by PSIM simulations.

Original languageEnglish
Title of host publicationCPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350300048
DOIs
Publication statusPublished - 2023
Event17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023 - Tallinn, Estonia
Duration: 14 Jun 202316 Jun 2023

Publication series

NameCPE-POWERENG 2023 - 17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering

Conference

Conference17th IEEE International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2023
Country/TerritoryEstonia
CityTallinn
Period14/06/2316/06/23

Keywords

  • Data centers
  • dc-dc converter
  • Model Predictive Control
  • Quadratic Buck Converter

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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