Multi-objective evolutionary—fuzzy augmented flight control for an F16 aircraft
AffiliationUniversity of Sheffield
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AbstractIn 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.
CitationStewart, 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: 10.1243/09544100JAERO610
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