Multi-objective evolutionary—fuzzy augmented flight control for an F16 aircraft
Journal article
Authors | Stewart, P, Gladwin, D, Parr, M and Stewart, Jill |
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Abstract | In this article, the multi-objective design of a fuzzy logic augmented flight controller for a high performance fighter jet (the Lockheed-Martin F16) is described. A fuzzy logic controller is designed and its membership functions tuned by genetic algorithms in order to design a roll, pitch, and yaw flight controller with enhanced manoeuverability which still retains safety critical operation when combined with a standard inner-loop stabilizing controller. The controller is assessed in terms of pilot effort and thus reduction of pilot fatigue. The controller is incorporated into a six degree of freedom motion base real-time flight simulator, and flight tested by a qualified pilot instructor. |
Keywords | Fuzzy Control systems, Genetic Algorithms, F16 fighter, aircraft flight control compensation |
Year | 2009 |
Journal | Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering |
Journal citation | 224 (3), pp. 293-309 |
ISSN | 0954-4100 |
2041-3025 | |
Digital Object Identifier (DOI) | https://doi.org/10.1243/09544100JAERO610 |
Web address (URL) | http://hdl.handle.net/10545/623488 |
http://creativecommons.org/licenses/by-nd/3.0/us/ | |
hdl:10545/623488 | |
Publication dates | 05 Nov 2009 |
Publication process dates | |
Deposited | 08 Feb 2019, 14:22 |
Rights | Attribution-NoDerivs 3.0 United States |
Contributors | University of Sheffield |
File | File Access Level Open |
File | File Access Level Open |
https://repository.derby.ac.uk/item/94y1x/multi-objective-evolutionary-fuzzy-augmented-flight-control-for-an-f16-aircraft
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