Faedo, Nicolás and García-Violini, Demián and Scarciotti, Giordano and Astolfi, Alessandro and Ringwood, John (2019) Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters. In: 2019 IEEE 58th Conference on Decision and Control (CDC). IEEE, pp. 4286-4291. ISBN 9781728113975

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Abstract

We introduce a moment-based framework to design robust energy-maximising optimal controllers for Wave Energy Converters (WECs). The technique explicitly allows model uncertainty in the computation of the optimal control input, by defining a suitable uncertainty polytope. The resulting robust optimisation is formulated as a minimax problem which has to be solved only at a small number of points of this uncertainty set. The objective function under the proposed strategy is shown to be of quadratic-type and the optimal solution is proven to be unique, providing a computationally efficient robust optimal control framework for WECs. The performance of the proposed controller is demonstrated by means of an application case, which considers a heaving point absorber WEC with imprecisely known model parameters.

Item Type:	Book Section
Additional Information:	Funding: This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886 and the Royal Society International Exchange Cost Share programme(IEC\R1\180018). This work has been partially supported by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 739551 (KIOSCoE). Cite as: N. Faedo, D. García-Violini, G. Scarciotti, A. Astolfi and J. V. Ringwood, "Robust Moment-Based Energy-Maximising Optimal Control of Wave Energy Converters," 2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 4286-4291, doi: 10.1109/CDC40024.2019.9029578.
Keywords:	Robust; moment-based; energy maximising; optimal control; wave energy converters;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research Faculty of Science and Engineering > Electronic Engineering
Item ID:	14295
Identification Number:	https://doi.org/10.1109/CDC40024.2019.9029578
Depositing User:	Professor John Ringwood
Date Deposited:	31 Mar 2021 16:00
Publisher:	IEEE
Refereed:	Yes
Funders:	Science Foundation Ireland (SFI), Royal Society
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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