García-Violini, Demián and Ringwood, John (2019) Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study. In: 2019 American Control Conference (ACC). IEEE, pp. 4779-4784. ISBN 9781538679265
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Abstract
Although Spectral and Pseudospectral methods have been used in a wide range of optimal control applications, to date, most of the literature uses these methods in a nonrobust sense without considering possible dynamic deviation (uncertainties) from the nominal model. This study applies a recent robust approach for spectral and pseudospectral methods to a wave energy converter, considering structured uncertainty in the dynamical system. The results show that the robust approach gives better worst-case performance than an equivalent non-robust approach. Additionally, when structured uncertainty is considered in the dynamical system, the results show that the absorbed energy, obtained with the robust approach, is always positive. Finally, the advantages of this new approach are commented.
Item Type: | Book Section |
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Additional Information: | Funding: This material is based upon works supported by Science Foundation Ireland under Grant no. 13/IA/1886. Thanks to Nicolas Faedo for the discussion during this study. Cite as: D. García-Violini and J. V. Ringwood, "Robust Control of Wave Energy Converters Using Spectral and Pseudospectral Methods: A Case Study," 2019 American Control Conference (ACC), Philadelphia, PA, USA, 2019, pp. 4779-4784, doi: 10.23919/ACC.2019.8815297. |
Keywords: | Robust Control; Wave Energy Converters; Spectral; Pseudospectral; Methods; Case Study; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research |
Item ID: | 14278 |
Identification Number: | https://doi.org/10.23919/ACC.2019.8815297 |
Depositing User: | Professor John Ringwood |
Date Deposited: | 30 Mar 2021 14:09 |
Publisher: | IEEE |
Refereed: | Yes |
Funders: | Science Foundation Ireland (SFI) |
URI: | |
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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