Faedo, Nicolás, Peña-Sanchez, Yerai, Garcia-Violini, Demián, Ferri, Francesco, Mattiazzo, Giuliana and Ringwood, John (2023) Experimental assessment and validation of energy-maximising moment-based optimal control for a prototype wave energy converter. Control Engineering Practice, 133 (105454). pp. 1-15. ISSN 0967-0661
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Abstract
In recent years, a framework for control of wave energy converters (WECs), termed moment-based control, has been developed within the wave energy conversion literature, exhibiting a remarkable performance in terms of energy absorption, while retaining real-time computational capabilities. Nonetheless, to date, practical results regarding moment-based control for WEC systems have been exclusively provided in numerical simulation, i.e. there is currently a lack of ‘real-world’ assessment of this promising control framework. Motivated by this, we present, in this paper, an experimental assessment and validation of moment-based WEC control for a prototype Wavestar wave energy converter, at the tank-testing facilities of Aalborg University, Denmark. In particular, we address the control design and synthesis procedure in an integrated fashion, covering experimental (physically consistent) system identification, unknown-input estimation and forecasting of wave excitation force, and subsequent control law implementation. We demonstrate that the moment-based controller is able to effectively maximise energy absorption from the wave resource in real-time, with a significant and consistent improvement with respect to the defined benchmark case. The results presented and discussed in this paper demonstrate the feasibility of moment-based WEC control, filling the gap between the attractive theoretical aspects associated with such a strategy, and the practical WEC energy conversion application.
Item Type: | Article |
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Keywords: | Wave energy; Experimental validation; Energy-maximising control; Optimal control; Moment; Moment-matching; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 18952 |
Identification Number: | 10.1016/j.conengprac.2023.105454 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 01 Oct 2024 11:06 |
Journal or Publication Title: | Control Engineering Practice |
Publisher: | Elsevier |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/18952 |
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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