Modeling of an Interleaved DC-DC Boost Converter for a Direct Model Predictive Control Strategy

Thomas Effenberger, Hannes Börngen, Eyke Liegmann, Michael Hoerner, Petros Karamanakos, Ralph Kennel

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

Abstract

This paper presents a model predictive control (MPC) algorithm for interleaved dc-dc boost converters with coupled inductors. The prediction model covers the switching nature of the converter and all possible operating states. The MPC algorithm is realized in MATLAB and designed such to facilitate its real-time implementation on a field programmable gate array (FPGA) using the MATLAB HDL Coder. Open-loop measurement results demonstrate the accuracy of the system model, while the effectiveness of the controller is validated in simulation.

Original languageEnglish
Title of host publication24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789075815399
StatePublished - 2022
Event24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Germany
Duration: 5 Sep 20229 Sep 2022

Publication series

Name24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe

Conference

Conference24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Country/TerritoryGermany
CityHanover
Period5/09/229/09/22

Keywords

  • Interleaved converters
  • MPC (Model-based Predictive Control)
  • Modelling

Fingerprint

Dive into the research topics of 'Modeling of an Interleaved DC-DC Boost Converter for a Direct Model Predictive Control Strategy'. Together they form a unique fingerprint.

Cite this