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), Glasgow, UK, 2-4 Sep 1997, pp. 37-42. (doi:10.1049/cp:19971152)
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Publisher's URL: http://dx.doi.org/10.1049/cp:19971152
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|
|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 > 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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