MURAL - Maynooth University Research Archive Library



    Articulating Parametric Nonlinearities in Computationally Efficient Hydrodynamic Models


    Giorgi, Giuseppe and Ringwood, John (2018) Articulating Parametric Nonlinearities in Computationally Efficient Hydrodynamic Models. IFAC-PapersOnLine, 51 (29). pp. 56-61. ISSN 2405-8963

    [img]
    Preview
    Download (4MB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Wave energy devices are designed, and controlled, in order to be extremely responsive to incoming wave excitation, hence maximising power absorption. Due to the consequent large motion excursions, highly nonlinear behaviour is likely to occur, especially in relation to variations in wetted surface. Moreover, nonlinearities may induce parametric instability, or activate internal mechanisms for exchanging energy between different degrees of freedom (DoFs), usually affecting the overall efficiency of the device. Consequently, single-DoF linear models may produce overly optimistic power production predictions, and neglect important dynamics of the system. One highly nonlinear phenomenon, particularly detrimental to power absorption for several wave energy converters, is parametric roll, which internally diverts part of the energy flow, from the axis where the power take-off is installed, to a secondary axis, generating parasitic motion. This paper proposes a computationally efficient multi-DoFs nonlinear model, which can effectively describe nonlinear behaviour, such as parametric pitch and roll, and their impact on motion prediction, power production assessment, and optimal control parameters.

    Item Type: Article
    Keywords: Nonlinear hydrodynamics; parametric resonance; parametric roll; wave energy converter; control; many-degrees-of-freedom systems;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 13115
    Identification Number: https://doi.org/10.1016/j.ifacol.2018.09.469
    Depositing User: Professor John Ringwood
    Date Deposited: 26 Jun 2020 22:11
    Journal or Publication Title: IFAC-PapersOnLine
    Publisher: Elsevier
    Refereed: Yes
    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

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year

    Origin of downloads