Ship steering control system optimisation using genetic algorithms

McGookin, E.W. , Murray-Smith, D.J., Li, Y. and Fossen, T.I. (2000) Ship steering control system optimisation using genetic algorithms. Control Engineering Practice, 8, pp. 429-443.

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The optimisation of non-linear control systems by genetic algorithms is studied in this paper. It involves the performance of two systems for regulating the motion of a ship model. These systems allow course changing and track keeping through the implementation of a slide mode controller. The genetic algorithm is used to optimise the performance of the complete system under various operating conditions by optimising the parameters of the sliding mode controller. The type of vessel considered is an oil tanker.

Item Type:Articles
Keywords:ship control, sliding mode control, genetic algorithms, optimisation problems
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:Q Science > QA Mathematics > QA76 Computer software
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 > Systems Power and Energy
Journal Name:Control Engineering Practice

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