Guerrero-Fernández, J., González-Villarreal, O.J., Rossiter, J.A. orcid.org/0000-0002-1336-0633 et al. (1 more author) (2021) Model predictive control for wave energy converters : a moving window blocking approach. In: Findeisen, R., Hirche, S., Janschek, K. and Mönnigmann, M., (eds.) IFAC-PapersOnLine. 21st IFAC World Congress 2020, 11-17 Jul 2020, Berlin, Germany. International Federation of Automatic Control (IFAC) , pp. 12815-12821.
Abstract
Ocean wave energy is one of the most concentrated sources of renewable energy. However, until now it has not reached the economic feasibility required to be commercialised. To improve the efficiency of wave energy converters, several advanced control strategies have been proposed, including Model Predictive Control (MPC). Nevertheless, the computational burden of the underlying optimisation problem is a drawback of conventional (Full-Degree of Freedom, F-DoF) MPC, which typically limits its application for real-time control of systems. In this paper, a Moving Window Blocking (MWB) approach is proposed to speed-up the time required for each optimisation problem by reducing the number of decision variables using input parameterised solutions. Numerical simulation of a generic single device point absorber wave energy converter controlled by this scheme confirms the potential of this approach.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0). |
Keywords: | Wave energy converters; Model predictive controller; Moving window blocking |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Mar 2020 11:41 |
Last Modified: | 11 May 2021 10:27 |
Status: | Published |
Publisher: | International Federation of Automatic Control (IFAC) |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2020.12.1960 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157785 |