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A Fuzzy Autopilot Optimized Using a Genetic Algorithm

Published online by Cambridge University Press:  23 November 2009

Robert Sutton  and
Gareth D. Marsden
Gareth D. Marsden
Affiliation:
(Institute of Marine Studies, University of Plymouth)
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Extract

The feasibility of using a genetic algorithm to optimize a fuzzy fixed rule based autopilot is considered in this paper. Simulation results are presented to show the applicability of the approach. It is concluded such a procedure gives more credence to the resulting design than can be achieved by totally heuristic methods.

As a result of the general recognition given to the robustness qualities of fuzzy control algorithms, studies have been undertaken in the marine field to develop autopilots based on this approach. Indeed, a fuzzy autopilot was recently installed in a small leisure vessel and very successful fullscale sea trials were undertaken. In the past, the main problem in designing a fuzzy autopilot, or any other fuzzy controller, has been the reliance on purely heuristic methods to obtain an optimum solution. To compensate for such shortcomings in the design cycle analytical approaches are now being proposed.

Keywords

1. Autopilots.2. Fuzzy logic.3. Genetic algorithm.

Information

Type
Research Article
Information
The Journal of Navigation , Volume 50 , Issue 1 , January 1997 , pp. 120 - 131
Copyright
Copyright © The Royal Institute of Navigation 1997

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