Stewart, P., Gladwin, D., Parr, M. and Stewart, J. (2010) Multi-objective evolutionary–fuzzy augmented flight control for an F16 aircraft. Proceedings of the IMechE, Part G: Journal of Aerospace Engineering, 224 (3). pp. 293-309. ISSN 0954-4100
Full content URL: http://dx.doi.org/10.1243/09544100JAERO610
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Evo_Fuzzy_F16.pdf - Whole Document 1MB |
Item Type: | Article |
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Item Status: | Live Archive |
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: | Flight simulation, Multiobjective genetic programming, Genetic algorithms, Fuzzy Logic |
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Subjects: | H Engineering > H660 Control Systems G Mathematical and Computer Sciences > G700 Artificial Intelligence H Engineering > H400 Aerospace Engineering |
Divisions: | College of Science > School of Engineering |
ID Code: | 2226 |
Deposited On: | 05 Mar 2010 12:09 |
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