Please use this identifier to cite or link to this item: doi:10.22028/D291-30912
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Title: A Review on Model Predictive Control and its Applications in Power Electronics
Author(s): Borreggine, Simone
Monopoli, Vito Giuseppe
Rizzello, Gianluca
Naso, David
Cupertino, Francesco
Consoletti, Rinaldo
Language: English
Title: 2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
Pages: 6
Publisher/Platform: IEEE
Year of Publication: 2019
Title of the Conference: AEIT AUTOMOTIVE 2019
Place of the conference: Torino, Italy
Publikation type: Conference Paper
Abstract: Model Predictive Control (MPC) has established itself as a reliable control strategy due to its flexibility and high performance. Although the first applications of MPC date back to the 80's, its use in the field of power electronic converters has grown significantly only in recent years. Within this field, the advantages introduced by MPC include inherently multivariable design, improved dynamic performance, and possibility of accounting for constraints on input and output variables. The aim of this work is to summarize and analyze several applications of MPC presented over last years in the field of power electronics. The main features of MPC are first discussed, with a focus on both Finite Control Set MPC and Explicit MPC methods. Then, a summary of different issues and corresponding solutions is reported, together with a list of applications and results obtained on different converters and loads controlled via MPC. Finally, motivations for MPC use in powertrain applications are discussed, and a brief summary of powertrain configurations and related issues are presented.
DOI of the first publication: 10.23919/EETA.2019.8804594
URL of the first publication: https://ieeexplore.ieee.org/abstract/document/8804594
Link to this record: hdl:20.500.11880/29125
http://dx.doi.org/10.22028/D291-30912
ISBN: 978-8-8872-3743-6
978-88-87237-44-3
Date of registration: 12-May-2020
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:UniBib – Die Universitätsbibliographie

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