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Model Predictive Control of a Nonlinear 2-Body Point Absorber Wave Energy Converter With Estimated State Feedback

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Title Model Predictive Control of a Nonlinear 2-Body Point Absorber Wave Energy Converter With Estimated State Feedback
Names Amann, Kai Uwe (creator)
Magaña, Mario E. (creator)
Sawodny, Oliver (creator)
Date Issued 2015 (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

©2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Abstract Ocean wave energy has the potential to significantly
contribute to sustainable power generation in coastal regions.
Much of the research effort has gone into developing time domain
state space models of point absorber wave energy converters
(WECs) and subsequently into model-based optimal control to
efficiently harvest the maximum possible amount of energy. The
resulting controllers require knowledge of the states of the WEC
in order to achieve the design goals. The purpose of this paper is
to design and apply an extended Kalman filter based estimation
algorithm to a non-linear two-body WEC model and to evaluate
its performance in conjunction with a model predictive controller
(MPC) which maximizes energy yield while satisfying operational
constraints.
Genre Article
Topic Model predictive control (MPC)
Identifier Amann, K. U., Magaña, M. E., & Sawodny, O. (2015). Model Predictive Control of a Nonlinear 2-Body Point Absorber Wave Energy Converter With Estimated State Feedback. [Article in Press]. IEEE Transactions on Sustainable Energy. doi:10.1109/TSTE.2014.2372059

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