MURAL - Maynooth University Research Archive Library



    Moment-Based Constrained Optimal Control of Wave Energy Converters: Flap-Type Device


    Faedo, Nicolás and Ringwood, John (2018) Moment-Based Constrained Optimal Control of Wave Energy Converters: Flap-Type Device. IFAC-PapersOnLine, 51 (29). pp. 50-55. ISSN 2405-8963

    [img]
    Preview
    Download (872kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    The control objective for Wave Energy Converters (WECs) deviates significantly from the traditional reference “tracking” problem. In fact, a suitable control formulation for WECs should optimise the energy absorption from waves while observing, at the same time, the physical limitations of both the device and the actuator. Due to the irregular motion of the sea, computing an optimal control law achieving such objectives is non-trivial. This paper presents the application of a recently developed moment-based optimal control strategy for WECs, for a flap-type device. The main components of this theory are discussed, while highlighting its appealing characteristics for this energy-maximising application. In addition, numerical results are presented for both monochromatic and polychromatic wave inputs.

    Item Type: Article
    Keywords: Optimal Control; Wave Energy Converter; Moment Domain; Energy Maximisation;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research
    Item ID: 12552
    Identification Number: https://doi.org/10.1016/j.ifacol.2018.09.468
    Depositing User: Professor John Ringwood
    Date Deposited: 06 Mar 2020 17:28
    Journal or Publication Title: IFAC-PapersOnLine
    Publisher: Elsevier
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year