Multi-objective evolutionary–fuzzy augmented flight control for an F16 aircraft

Stewart, P. and Gladwin, D. and 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

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Multi-objective evolutionary–fuzzy augmented flight control for an F16 aircraft
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.
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Full text URL: http://dx.doi.org/10.1243/09544100JAERO610

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.

Item Type:Article
Keywords:Flight simulation, Multiobjective genetic programming, Genetic algorithms, Fuzzy Logic
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 By:INVALID USER
Deposited On:05 Mar 2010 12:09
Last Modified:04 Dec 2013 16:53

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