Multivariable Identification of Ship Steering and Roll Motions

Antonio Tiano, Mogens Blanke

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Abstract

This paper addresses identification of a multivariable model describing the rudder-induced surge-sway-yaw-roll dynamics of a fast container ship. The identification problem is formulated and is solved numerically by using a random search minimisation method. Such method, which has to carry out the estimation of a large number of unknown parameters, is based on a suitable implementation of Simulated Annealing, Application of the algorithm to a set of simulated data has proved to be quite successful. The results show that the proposed identification method is a very efficient and easy-to-use tool for determination of ship hydrodynamic derivatives on the basis of full-scale sea trials or from towing-tank tests conducted on scale models.
Original languageEnglish
JournalTransactions of the Institute of Measurement and Control
Volume19
Issue number2
Pages (from-to)62-71
ISSN0142-3312
DOIs
Publication statusPublished - 1997
Externally publishedYes

Keywords

  • Identification
  • Ship modelling for control
  • Global optimization
  • Simulated Annealing

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