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Decentralized Model Predictive Control for Wave Energy Converter Arrays

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Title Decentralized Model Predictive Control for Wave Energy Converter Arrays
Names Oetinger, Daniela (creator)
Magaña, Mario E. (creator)
Sawodny, Oliver (creator)
Date Issued 2014-10 (iso8601)
Note This is an author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by IEEE-Institute of Electrical and Electronics Engineers and can be found at: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165391

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Abstract Most of the research on wave energy conversion
has been focused on the characterization of the
dynamic behavior of arrays of uncontrolled WECs in
specific configurations, in order to quantify changes
in the wave fields and absorbed power without active
control. To maximize wave energy conversion, however,
it is necessary to apply active control techniques to
the WECs that conform the array. In this paper we
propose the application of decentralized model predictive
control (MPC) to the elements of an array by
considering each individual WEC as a subsystem. Each
decentralized MPC optimizes the absorbed power of its
own WEC under the same input and state constraints
that a centralized MPC otherwise would.
Genre Article
Topic Model predictive control (MPC)
Identifier Oetinger, D., Magaña, M. E., & Sawodny, O. (2014). Decentralized Model Predictive Control for Wave Energy Converter Arrays. IEEE Transactions on Sustainable Energy, 5(4), 1099-1107. doi:10.1109/TSTE.2014.2330824

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