The project has been directed towards improving the accuracy and safety of marine
navigation and ship handling, whilst contributing to reduced manning and improved fuel
costs. Thus, the aim of the work was to investigate, design and develop an adaptable
mathematical model that could be used in an integrated navigation system (INS) and an
automatic collision avoidance system (ACAS) for use in marine vehicles.
A general overview of automatic navigation is undertaken and consideration is given to the
use of microprocessors on the bridge. Many of these systems now require the use of
mathematical models to predict the vessels' manoeuvring characteristics: The different types
and forms of models have been investigated and the derivation of their hydrodynamic
coefficients is discussed in detail. The model required for an ACAS should be both accurate
and adaptable, hence, extensive simulations were undertaken to evaluate the suitability of
each model type.
The modular model was found to have the most adaptable structure. All the modular
components of this model were considered in detail to improve its adaptability, the number
of non-linear terms in the hull module being reduced. A novel application, using the
circulation theory to model the propeller forces and moments, allows the model to be more
flexible compared to using traditional B-series four-quadrant propeller design charts. A
new formula has been derived for predicting the sway and yaw components due to the
propeller paddle wheel effect which gives a good degree of accuracy when comparing
simulated and actual ship data, resulting in a mean positional error of less than 7%.
As a consequence of this work, it is now possible for an ACAS to incorporate a ship
mathematical model which produces realistic manoeuvring characteristics. Thus, the study
will help to contribute to safety at sea.
Date of Award | 1994 |
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Original language | English |
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Awarding Institution | |
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AN ADAPTABLE MATHEMATICAL MODEL FOR INTEGRATED NAVIGATION SYSTEMS
CHUDLEY, J. (Author). 1994
Student thesis: PhD