Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/78900

TitleContinuous control set model predictive control of a bridgeless-boost three-level active rectifier
Author(s)Monteiro, Vítor Duarte Fernandes
Afonso, José A.
Rodrigues, Ana Maria Cunha
Sousa, Tiago José Cunha
Afonso, João L.
KeywordsContinuous Control Set Model Predictive Control
Bridgeless-Boost Three-Level Active Rectifier
Power Quality
Issue dateOct-2021
PublisherIEEE
JournalProceedings of the Annual Conference of the IEEE Industrial Electronics Society
CitationV. Monteiro, J. A. Afonso, A. Rodrigues, T. J. C. Sousa and J. L. Afonso, "Continuous Control Set Model Predictive Control of a Bridgeless-Boost Three-Level Active Rectifier," IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society, 2021, pp. 1-6, doi: 10.1109/IECON48115.2021.9589301
Abstract(s)Over the past few decades, active rectifiers have assumed an important preponderance for numerous applications that propose to minimize power quality problems. Consequently, digital control algorithms are following this trend by contributing with a significant set of advantages. This paper presents the use of a continuous control set model predictive control (CCS-MPC) for a bridgeless-boost three-level (BB3L) active rectifier. The BB3L has a set of advantages when confronted with traditional solutions to improve power quality, where the possibility to operate with three voltage levels, sinusoidal current and unitary power factor, while using few switching devices, are the main features. Considering the multiplicity of applications for the BB3L active rectifier, the CCS-MPC is applied to obtain a robust current tracking. The BB3L is presented in detail throughout the paper and based on its mathematical model, the digital control equations are formulated, highlighting that the possibility of operating with a fixed switching frequency is the main characteristic. The results are achieved for many operating conditions, covering steady-state and transient-state, validating the accurate application of the CCS-MPC.
TypeConference paper
URIhttps://hdl.handle.net/1822/78900
ISBN9781665435543
DOI10.1109/IECON48115.2021.9589301
ISSN1553-572X
Publisher versionhttps://ieeexplore.ieee.org/document/9589301
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
CMEMS - Artigos em livros de atas/Papers in proceedings

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