Faedo, Nicolás and Giorgi, G. and 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
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:	https://doi.org/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
URI:	Publisher
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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