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Automatic steering of ships using neural networks

โœ Scribed by M. A. Unar; D. J. Murray-Smith

Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
413 KB
Volume
13
Category
Article
ISSN
0890-6327

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โœฆ Synopsis

Ship steering control system design presents challenges because the dynamic properties of the vessel itself vary signi"cantly. The use of an arti"cial neural network as a controller which incorporates the properties of a series of conventional controllers designed for di!erent operating conditions could provide an alternative to adaptive control or gain scheduling in this application. Local model network methods could also provide a basis for e$cient modelling of the vessel over a range of operating conditions. The paper describes an investigation of radial basis function networks for ship steering control and of local model networks for representation of ship dynamics. Performance is demonstrated by a series of simulation studies.

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