The present investigation is concerned with the prediction of the future behavior of a vessel within some confidence bounds at a specific instant of time, taking into account an interval of a few seconds. The ability to predict accurately the motions of a vessel can reduce significantly the probability of failure of operations in rough seas. The investigation was started as part of an effort to ensure safe landing of aircraft on relatively small vessels. However, the basic principles involved in the study are the same for any offshore operation, such as carbo transfer in the open sea, structure installation, and floating crane operation. The Kalman filter is a powerful tool for achieving the goals of the prediction procedure. Attention is given to a linear optimal predictor, the equations of motion of the vessel, the wave spectrum, rational approximation, the use of Kalman filter and predictor in an application for a ship, and the motions of a semisubmersible.


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    Title :

    Real time prediction of marine vessel motions using Kalman filtering techniques


    Contributors:

    Conference:

    Annual Offshore Technology Conference ; 1982 ; Houston, TX


    Publication date :

    1982-05-01


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English


    Keywords :