John V. Ringwood
The wave energy converter control competition (WECCCOMP): Wave energy control algorithms compared in both simulation and tank testing
Ringwood, John V.; Tom, Nathan; Ferri, Francesco; Yu, Yi Hsiang; Coe, Ryan G.; Ruehl, Kelley; Bacelli, Giorgio; Shi, Shuo; Patton, Ron J.; Tona, Paolino; Sabiron, Guillaume; Merigaud, Alexis; Ling, Bradley A.; Faedo, Nicolas
Authors
Nathan Tom
Francesco Ferri
Yi Hsiang Yu
Ryan G. Coe
Kelley Ruehl
Giorgio Bacelli
Shuo Shi
Professor Ron Patton R.J.Patton@hull.ac.uk
Emeritus Professor of Control and Intelligent Systems Engineering
Paolino Tona
Guillaume Sabiron
Alexis Merigaud
Bradley A. Ling
Nicolas Faedo
Abstract
The wave energy control competition established a benchmark problem which was offered as an open challenge to the wave energy system control community. The competition had two stages: In the first stage, competitors used a standard wave energy simulation platform (WEC-Sim) to evaluate their controllers while, in the second stage, competitors were invited to test their controllers in a real-time implementation on a prototype system in a wave tank. The performance function used was based on converted energy across a range of standard sea states, but also included aspects related to economic performance, such as peak/average power, peak force, etc. This paper compares simulated and experimental results and, in particular, examines if the results obtained in a linear system simulation are borne out in reality. Overall, within the scope of the device tested, the range of sea states employed, and the performance metric used, the conclusion is that high-performance WEC controllers work well in practice, with good carry-over from simulation to experimentation. However, the availability of a good WEC mathematical model is deemed to be crucial.
Citation
Ringwood, J. V., Tom, N., Ferri, F., Yu, Y. H., Coe, R. G., Ruehl, K., …Faedo, N. (2023). The wave energy converter control competition (WECCCOMP): Wave energy control algorithms compared in both simulation and tank testing. Applied Ocean Research, 138, Article 103653. https://doi.org/10.1016/j.apor.2023.103653
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 27, 2023 |
Online Publication Date | Jul 20, 2023 |
Publication Date | Sep 1, 2023 |
Deposit Date | Jul 31, 2023 |
Publicly Available Date | Aug 2, 2023 |
Journal | Applied Ocean Research |
Print ISSN | 0141-1187 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 138 |
Article Number | 103653 |
DOI | https://doi.org/10.1016/j.apor.2023.103653 |
Keywords | Wave energy; Modelling; Control; Estimation; Forecasting; Competition |
Public URL | https://hull-repository.worktribe.com/output/4347232 |
Files
Published article
(2.2 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
You might also like
Actuator fault tolerant offshore wind turbine load mitigation control
(2023)
Journal Article
Improved control strategies for the environment within cell culture bioreactors
(2023)
Journal Article
Wind turbine asymmetrical load reduction with pitch sensor fault compensation
(2020)
Journal Article
Distributed Fault-Tolerant Consensus Control of Vehicle Platoon Systems With DoS Attacks
(2024)
Journal Article
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search