Paper Info
Title
A novel methodology for adaptive Wave Filtering of marine vessels: Theory and experiments?
Abstract
This 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 vessel's dynamic model adopted captures the sea state as an uncertain parameter. The proposed adaptive Wave Filtering (WF) consists of a recursive optimization procedure which seeks to identify the dominant wave frequency (the uncertain parameter) by minimizing an appropriate defined performance index. The estimated dominant wave frequency is used to identify the sea condition, based on which adaptive wave filtering (using a Kalman filter) is performed for dynamic positioning purposes. The adaptive WF enables the DP system to operate in different operational conditions and hence, it is a step forward to a so-called all-year marine DP 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.
Year
DOI
Venue
2013
10.1109/CDC.2013.6760863
Decision and Control
Keywords
Field
DocType
Kalman filters,adaptive filters,minimisation,position control,ships,uncertain systems,Cybership III,DP operated ship,Kalman filter,adaptive wave filtering,all-year marine DP system,appropriate defined performance index,dominant wave frequency,dynamic positioning system,hydraulic wave maker,marine vessel,offshore rigs,recursive optimization,sea condition,sea state,sea waves,ships,towing tank,uncertain parameter,vessel dynamic model
Dynamic positioning,Computer science,Control theory,Towing,Filter (signal processing),Kalman filter,Filtering problem,Minimisation (psychology),Adaptive filter,Sea state
Conference
ISSN
ISBN
Citations 
0743-1546
978-1-4673-5714-2
4
PageRank 
References 
Authors
0.46
5
3
Name
Order
Citations
PageRank
Vahid Hassani1112.69
Antonio M. Pascoal2144.10
Asgeir J. Sørensen315513.89