a study on ship automatic berthing with assistance of auxiliary devices

Clicks: 235
ID: 174893
2012
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Abstract
The recent researches on the automatic berthing control problems have used various kinds of tools as a control method such as expert system, fuzzy logic controllers and artificial neural network (ANN). Among them, ANN has proved to be one of the most effective and attractive options. In a marine context, the berthing maneuver is a complicated procedure in which both human experience and intensive control operations are involved. Nowadays, in most cases of berthing operation, auxiliary devices are used to make the schedule safer and faster but none of above researches has taken into account. In this study, ANN is applied to design the controllers for automatic ship berthing using assistant devices such as bow thruster and tug. Using back-propagation algorithm, we trained ANN with set of teaching data to get a minimal error between output values and desired values of four control outputs including rudder, propeller revolution, bow thruster and tug. Then, computer simulations of automatic berthing were carried out to verify the effecttiveness of the system. The results of the simulations showed good performance for the proposed berthing control system.
Reference Key
tran2012internationala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Van Luong Tran;Namkyun Im
Journal current developments in nutrition
Year 2012
DOI
10.2478/IJNAOE-2013-0090
URL
http://www.sciencedirect.com/science/article/pii/S2092678216303429
Keywords
Neural network marine engineering shipbuilding tugboatocean engineeringnaval architecture

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