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dc.contributor.authorHassani, Vahid
dc.contributor.authorSørensen, Asgeir Johan
dc.contributor.authorPascoal, Antonio
dc.description.abstractThis paper addresses a filtering problem that arises in the design of dynamic positioning systems for ships and offshore rigs subjected to the influence of sea waves. The dynamic model of the vessel captures explicitly the sea state as an uncertain parameter. The proposed adaptive wave filter borrows from maximum likelihood identification techniques. The general form of the logarithmic likelihood function is derived and the dominant wave frequency (the uncertain parameter) is identified by maximizing this function. To this effect, a bank of Kalman filters is used to evaluate the log-likelihood function for different values of the uncertain parameter. After each identification step a new set of Kalman filters is designed to estimate the dominant wave frequency with better accuracy. The proposed sea state identification technique enables adaptive Wave Filtering (WF) and Dynamic Positioning (DP) systems to operate in different operational conditions and hence, it is a step forward to the development of a so-called all-year marine estimation and control system. The results are experimentally verified by model testing a DP operated ship, the Cybership III, under different sea conditions in a towing tank equipped with a hydraulic wave maker.nb_NO
dc.relation.ispartofProceedings of the 9th IFAC Conference on Control Applications in Marine Systems (CAMS 2013)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.titleAdaptive Wave Filtering for Dynamic Positioning of Marine Vessels Using Maximum Likelihood Identification: Theory and Experimentsnb_NO
dc.subject.nsiVDP::Marin teknologi: 580nb_NO
dc.subject.nsiVDP::Marine technology: 580nb_NO
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcode© 2016. This is the authors’ accepted and refereed manuscript to the article. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
cristin.unitnameInstitutt for marin teknikk

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal