Detection of Parametric Roll Resonance on Ships from Indication of Nonlinear Energy Flow

Roberto Galeazzi, Mogens Blanke, Niels Kjølstad Poulsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    The detection of the onset of parametric roll resonance on ships is of a central importance in order to activate specific control strategies able to counteract the large roll motion. One of the main priorities is to have detectors with a small detection time, such that warnings can be issued when the roll oscillations are about 5◦. This paper proposes two different detection approaches: the first one based on sinusoidal detection in white gaussian noise; the second one utilizes an energy flow indicator in order to catch the onset of parametric roll based upon the transfer of energy from heave and pitch to roll. Both detectors have been validated against experimental data of a scale model of a container vessel excited with both regular and irregular waves. The detector based on the energy flow indicator proved to be very robust to different scenarios (regular/irregular waves) since it does not rely on any specific assumption on the signal to be detected.
    Original languageEnglish
    Title of host publicationProceedings 7. IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Publication date2009
    Pages348-353
    ISBN (Print)978-3-902661-46-3
    DOIs
    Publication statusPublished - 2009
    Event7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes - Barcelona, Spain
    Duration: 30 Jun 20093 Jul 2009
    Conference number: 7
    http://safeprocess09.upc.es/

    Conference

    Conference7th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes
    Number7
    Country/TerritorySpain
    CityBarcelona
    Period30/06/200903/07/2009
    Internet address

    Keywords

    • Roll resonance
    • Marine systems
    • Marine applications
    • Parametric resonance
    • Statistical methods

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