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

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

Documents
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.
[img]
[Download]
[img] PDF
Evo_Fuzzy_F16.pdf - Whole Document

1MB
Item Type:Article
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
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

Repository Staff Only: item control page