Faedo, Nicolás and Peña-Sanchez, Yerai and Ringwood, John V. (2020) Parametric representation of arrays of wave energy converters for motion simulation and unknown input estimation: A moment-based approach. Applied Ocean Research, 98. p. 102055. ISSN 0141-1187

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Abstract

When it comes to parameterisation of dynamical models for arrays of Wave Energy Converters (WECs), the most used approach, within the wave energy literature, provides a state-space representation whose order (dimension) increases quadratically with the number of devices composing the WEC array. This represents a major drawback for key WEC design elements, such as motion simulation and unknown input estimation, being the latter essential to effectively maximise energy extraction from ocean waves. We present herein a multi-input, multi-output (MIMO) parameterisation strategy based on a system-theoretic interpretation of moments. The state-space representations computed with this moment-based approach exactly match the steady-state behaviour of the target WEC system at specific (user-selected) interpolation points, providing efficient low dimensional models that can accurately represent the input-output dynamics of WEC arrays. Moreover, we show that there exists an intrinsic connection between wave excitation force estimation strategies and the moment-based parameterisation method proposed in this paper. We exploit this mathematical correlation to provide low order models that deliver the same degree of wave excitation force estimation accuracy to that obtained by implementing the currently-used parameterisation methods, with mild computational requirements. The performance of the strategy is analysed in terms of a case study, considering a WEC array composed of state-of-the-art CorPower-like devices, for both WEC motion simulation and wave excitation force estimation scenarios.

Item Type:	Article
Additional Information:	Cite as: Nicolás Faedo, Yerai Peña-Sanchez, John V. Ringwood, Parametric representation of arrays of wave energy converters for motion simulation and unknown input estimation: A moment-based approach, Applied Ocean Research, Volume 98,2020,102055,ISSN 0141-1187,https://doi.org/10.1016/j.apor.2020.102055.
Keywords:	Radiation forces; Model order reduction; Moment-matching; Frequency-domain identification; WEC array; Unknown input estimation;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering
Item ID:	15964
Identification Number:	https://doi.org/10.1016/j.apor.2020.102055
Depositing User:	Professor John Ringwood
Date Deposited:	17 May 2022 09:39
Journal or Publication Title:	Applied Ocean Research
Publisher:	Science Direct
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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