MURAL - Maynooth University Research Archive Library

    Quantifying hydrodynamic model uncertainty for robust control of wave energy devices

    Farajvand, Mahiyeh and García-Violini, Demián and Windt, Christian and Grazioso, Valerio and Ringwood, John (2021) Quantifying hydrodynamic model uncertainty for robust control of wave energy devices. In: 14th European Wave and Tidal Energy Conference, 5-9th Sept 2021, Plymouth, UK.

    Download (2MB) | Preview

    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...

    Add this article to your Mendeley library


    Wave energy converter (WEC) modelling attracts significant uncertainty, often due to the need to develop compact parametric models for simulation, optimisation and control design. For linear models, which form the basis of many WEC control philosophies, this uncertainty can be as a result of real system nonlinearity, particularly as a result of control action, as well as more general uncertainty in the hydrodynamic modelling process. Recent developments in WEC control include the development of robust control algorithms, which utilise a nominal linear model, but tolerate a level of uncertainty in the model parameters. This study develops a framework for identifying a nominal model plus model uncertainty bounds, which uses data from nonlinear computational fluid dynamics (CFD) simulation. Two robust control solutions are developed, one with an analytical approach, for circular uncertainty boundaries, and a further numerical approach, considering uncertainty sets of arbitrary shape. Finally, the comparative controller performance, based on the appropriate selection of a nominal model and uncertainty bound, compared to a non-robust nominal controller, is shown.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Computational fluid dynamics; system identification; model uncertainty; pseudospectral; robust control; 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: 16256
    Depositing User: Professor John Ringwood
    Date Deposited: 06 Jul 2022 09:06
    Refereed: Yes
      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 per month over past year

      Origin of downloads