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Submarine Sliding Mode Controller Optimisation Using Genetic Algorithms

McGookin, E.W., Murray-Smith, D.J., and Li, Y. (1996) Submarine Sliding Mode Controller Optimisation Using Genetic Algorithms. In: UKACC International Conference on Control, CONTROL '96, 2-5 September 1996, Exeter, UK.

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Abstract

A nonlinear control application of genetic algorithm (GA) optimisation techniques is studies in this paper. The theory of the application is presented from its basis in Darwinian evolution to the development of the form of optimisation algorithm used in the application. This involves sliding mode (SM) controllers for the diving and heading manoeuvres of a linear submarine model. The GA optimised results are compared with hand-tuned results in terms of performance and acquisition time. Post-optimisation analysis of the GA results shows that in order to obtain good performance the GA solution involves controllers which operate in a specific region. The selection of this region effectively changes the structure of the controllers.

Item Type:Conference Proceedings
Additional Information:IEE Conference Publication No. 427, Published by IEE, 1996.
Keywords:optimisation, genetic algorithm, control, sliding mode, marine systems, submarine
Status:Published
Refereed:Yes
Glasgow Author(s):McGookin, Dr Euan and Murray-Smith, Prof David and Li, Prof Yun
Authors: McGookin, E.W., Murray-Smith, D.J., and Li, Y.
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

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