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

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

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Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

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Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)
Kustantaja	IEEE
Sivut	P.1-P.11
Sivumäärä	11
ISBN (elektroninen)	978-9-0758-1539-9
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	European Conference on Power Electronics and Applications - Hannover, Saksa Kesto: 5 syysk. 2022 → 9 syysk. 2022

Conference

Conference	European Conference on Power Electronics and Applications
Maa/Alue	Saksa
Kaupunki	Hannover
Ajanjakso	5/09/22 → 9/09/22

Julkaisufoorumi-taso

Jufo-taso 1

Pääsy asiakirjaan

Modeling of an interleaved dc-dc boost converter for a direct model predictive control strategy
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Accepted author manuscript, 1,96 MBLisenssi: Unspecified

https://urn.fi/URN:NBN:fi:tuni-202301231618Lisenssi: Unspecified
https://ieeexplore.ieee.org/document/9907331

Siteeraa tätä

@inproceedings{55bef5fc180c4a278fbf0d6bab5e0660,

title = "Modeling of an Interleaved DC-DC Boost Converter for a Direct Model Predictive Control Strategy",

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.",

keywords = "Switches, Photonic crystals, Predictive models, Prediction algorithms, Mathematical models, Real-time systems, Inductors, «Interleaved converters», «Modelling», «MPC (Model-based Predictive Control)»",

author = "Thomas Effenberger and Hannes B{\"o}rngen and Eyke Liegmann and Michael Hoerner and Petros Karamanakos and Ralph Kennel",

note = "jufoid=55394; European Conference on Power Electronics and Applications ; Conference date: 05-09-2022 Through 09-09-2022",

year = "2022",

language = "English",

pages = "P.1--P.11",

booktitle = "2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)",

publisher = "IEEE",

address = "United States",

}

Effenberger, T, Börngen, H, Liegmann, E, Hoerner, M, Karamanakos, P & Kennel, R 2022, Modeling of an Interleaved DC-DC Boost Converter for a Direct Model Predictive Control Strategy. julkaisussa 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe). IEEE, Sivut P.1-P.11, European Conference on Power Electronics and Applications, Hannover, Saksa, 5/09/22. <https://urn.fi/URN:NBN:fi:tuni-202301231618>

TY - GEN

T1 - Modeling of an Interleaved DC-DC Boost Converter for a Direct Model Predictive Control Strategy

AU - Effenberger, Thomas

AU - Börngen, Hannes

AU - Liegmann, Eyke

AU - Hoerner, Michael

AU - Karamanakos, Petros

AU - Kennel, Ralph

N1 - jufoid=55394

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Switches

KW - Photonic crystals

KW - Predictive models

KW - Prediction algorithms

KW - Mathematical models

KW - Real-time systems

KW - Inductors

KW - «Interleaved converters»

KW - «Modelling»

KW - «MPC (Model-based Predictive Control)»

M3 - Conference contribution

SP - P.1-P.11

BT - 2022 24th European Conference on Power Electronics and Applications (EPE'22 ECCE Europe)

PB - IEEE

T2 - European Conference on Power Electronics and Applications

Y2 - 5 September 2022 through 9 September 2022

ER -

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

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Conference

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