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

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  • 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.
  • 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.
  • Keywords: Kalman filter, Non-linear point absorber, Wave energy converters (WECs), Model predictive control (MPC)
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  • 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. IEEE Transactions on Sustainable Energy, 6(2), 336-345. doi:10.1109/TSTE.2014.2372059
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  • 6
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  • 2
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