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Parameter optimisation of a non-linear tanker control system using genetic algorithms

McGookin, E.W., Murray-Smith, D.J., Li, Y., and Fossen, T.I. (1997) Parameter optimisation of a non-linear tanker control system using genetic algorithms. In: Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA 97), 2-4 Sep 1997, Glasgow, UK.

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Publisher's URL: http://dx.doi.org/10.1049/cp:19971152

Abstract

The optimisation of a non-linear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a fully autonomous control system for regulating the course keeping manoeuvres of an oil tanker. This control system consists of an autopilot and a sliding mode controller (SMC). The GA is used to optimise the performance of the complete system by optimising the parameters of the SMC.

Item Type:Conference Proceedings
Additional Information:IEE Conference Publication 446
Keywords:Control, non-linear, genetic algorithm, optimisation, oil tanker model, sliding mode control
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Murray-Smith, Prof David and McGookin, Dr Euan and Li, Prof 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 > Systems Power and Energy
College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Aerospace Sciences

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