Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933952

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Title
Damping structure selection in nonlinear ship manoeuvring models
Author/Creator
Perez, Tristan;  Revestido-Herrero, Elías
Institution
The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
Description
This paper presents the application of a statistical method for model structure selection of lift-drag and viscous damping components in ship manoeuvring models. The damping model is posed as a family of linear stochastic models, which is postulated based on previous work in the literature. Then a nested test of hypothesis problem is considered. The testing reduces to a recursive comparison of two competing models, for which optimal tests in the Neyman sense exist. The method yields a preferred model structure and its initial parameter estimates. Alternatively, the method can give a reduced set of likely models. Using simulated data we study how the selection method performs when there is both uncorrelated and correlated noise in the measurements. The first case is related to instrumentation noise, whereas the second case is related to spurious wave-induced motion often present during sea trials. We then consider the model structure selection of a modern high-speed trimaran ferry from full scale trial data.
Relation
8th IFAC Conference on Control Applications in Marine Systems. Proceedings of the 8th IFAC Conference on Control Applications in Marine Systems (Rostock, Germany 15-17 September, 2010)
Publisher Link
http://dx.doi.org/10.3182/20100915-3-DE-3008.00053
Date
2010
Publisher
International Federation of Automatic Control (IFAC)
Keyword(s)
system identification;  regression analysis;  ship dynamics;  hypothesis testing
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/933952
Identifier
ISBN:9783902661883
Identifier
ISSN:1474-6670
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"Damping structure selection in nonlinear ship manoeuvring models"
 
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