Please use this identifier to cite or link to this item: https://hdl.handle.net/1822/42786

TitleModel predictive control applied to an improved five-level bidirectional converter
Author(s)Monteiro, Vítor Duarte Fernandes
Ferreira, João C.
Meléndez, Andrés A. Nogueiras
Afonso, João L.
KeywordsBidirectional
Five Level Converter
Model Predictive Control
Power Quality
model predictive control (MPC)
Issue dateSep-2016
PublisherIEEE
JournalIEEE Transactions on Industrial Electronics
CitationVítor Monteiro, João C. Ferreira, Andrés A. Nogueiras Meléndez, João L. Afonso, “ Model Predictive Control Applied to an I mproved Five-Level Bidirectional Converter ”, IEEE Transactions on Industrial Electronics, vol.63, no.9, pp.5879-5890, Sept. 2016
Abstract(s)This paper presents an improved five level bidirectional converter (iFBC) controlled by finite control set model predictive control (FCS-MPC). This control strategy consists in using the discrete time nature of the iFBC to define its state in each sampling interval. Using FCS-MPC the switching frequency is not constant; however, it is suitable to follow the current reference with low total harmonic distortion (THD). The iFBC prototype that was specially developed for obtaining experimental results is described in detail along the paper, as well as its principle of operation, power theory, and current control strategy. The iFBC was experimentally validated connected to the power grid through a second order LfCf passive filter, operating as an active rectifier and as a grid tie inverter. For both operation modes, the experimental results confirm the good performance (in terms of efficiency, low current THD and controlled output voltage) of the iFBC controlled by FCS-MPC.
TypeArticle
URIhttps://hdl.handle.net/1822/42786
DOI10.1109/TIE.2016.2558141
ISSN0278-0046
1557-9948
Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7458864
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em revistas internacionais / Papers in international journals

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