Faedo, Nicolás, Giorgi, G., Ringwood, John and Mattiazzo, Giuliana (2022) Optimal control of wave energy systems considering nonlinear Froude–Krylov effects: control-oriented modelling and moment-based control. Nonlinear Dyn.
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Abstract
Motivated by the relevance of so-called
nonlinear Froude–Krylov (FK) hydrodynamic effects
in the accurate dynamical description of wave energy
converters (WECs) under controlled conditions, and
the apparent lack of a suitable control framework effectively capable of optimally harvesting ocean wave
energy in such circumstances, we present, in this paper,
an integrated framework to achieve such a control
objective, by means of two main contributions. We
first propose a data-based, control-oriented, modelling
procedure, able to compute a suitable mathematical
representation for nonlinear FK effects, fully compatible with state-of-the-art control procedures. Secondly,
we propose a moment-based optimal control solution,
capable of transcribing the energy-maximising optimal control problem for WECs subject to nonlinear
FK effects, by incorporating the corresponding databased FK model via moment-based theory, with realtime capabilities. We illustrate the application of the
proposed framework, including energy absorption performance, by means of a comprehensive case study,
comprising both the data-based modelling, and the optimal moment-based control of a heaving point absorber
WEC subject to nonlinear FK forces.
Item Type: | Article |
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Additional Information: | How to cite this article Faedo, N., Giorgi, G., Ringwood, J.V. et al. Optimal control of wave energy systems considering nonlinear Froude–Krylov effects: control-oriented modelling and moment-based control. Nonlinear Dyn (2022). https://doi.org/10.1007/s11071-022-07530-3 |
Keywords: | Nonlinear hydrodynamics; Wave energy converter; Optimal control; System identification; Control-oriented modelling; Froude–Krylov forces; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 16319 |
Identification Number: | 10.1007/s11071-022-07530-3 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 15 Jul 2022 08:52 |
Journal or Publication Title: | Nonlinear Dyn |
Publisher: | Springer Nature |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/16319 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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