Multi-objective evolutionary—fuzzy augmented flight control for an F16 aircraft
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.Citation
Stewart, P., Gladwin, D., Parr, M. and Stewart, J., (2010). 'Multi-objective evolutionary—fuzzy augmented flight control for an F16 aircraft'. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 224(3), pp.293-309. DOI: 10.1243/09544100JAERO610DOI
10.1243/09544100JAERO610Additional Links
http://journals.sagepub.com/doi/10.1243/09544100JAERO610http://eprints.lincoln.ac.uk/2226/
Type
ArticleLanguage
enISSN
0954-41002041-3025
ae974a485f413a2113503eed53cd6c53
10.1243/09544100JAERO610
Scopus Count
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