Non-linear tanker control system parameter optimisation using genetic algorithms

McGookin, E.W. , Murray-Smith, D.J., Li, Y. and Fossen, T.I. (1997) Non-linear tanker control system parameter optimisation using genetic algorithms. In: Oceans '97 Conference, Halifax, Nova Scotia, Canada, 6-9 Oct 1997, pp. 17-22. (doi: 10.1109/OCEANS.1997.634328)

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Publisher's URL: http://dx.doi.org/10.1109/OCEANS.1997.634328

Abstract

The optimisation of a non-linear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained.

Item Type:Conference Proceedings
Additional Information:Proceedings Oceans '97 Conference MTS/IEEE, Halifax, Nova Scotia, Canada, Volume 1. Published by IEEE, 1997. ISBN: 0780341082.
Keywords:Marine systems, oil tanker, control, optimisation, genetic algorithm, sliding mode
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:McGookin, Dr Euan and Murray-Smith, Professor David and Li, Professor Yun
Authors: McGookin, E.W., Murray-Smith, D.J., Li, Y., and Fossen, T.I.
Subjects:T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Systems Power and Energy

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