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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
Titel24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9789075815399
PublikationsstatusVeröffentlicht - 2022
Veranstaltung24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe - Hanover, Deutschland
Dauer: 5 Sept. 20229 Sept. 2022

Publikationsreihe

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

Konferenz

Konferenz24th European Conference on Power Electronics and Applications, EPE 2022 ECCE Europe
Land/GebietDeutschland
OrtHanover
Zeitraum5/09/229/09/22

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