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

被引:12
|
作者
Stewart, P. [1 ]
Gladwin, D. [2 ]
Parr, M. [2 ]
Stewart, J. [1 ]
机构
[1] Lincoln Univ, Sch Engn, Lincoln LN6 7TS, England
[2] Univ Sheffield, Dept Elect & Elect Engn, Sheffield S1 3JD, S Yorkshire, England
关键词
flight simulation; multi-objective design; fuzzy control optimization genetic algorithms; DESIGN; OPTIMIZATION; ALGORITHMS; SIMULATION;
D O I
10.1243/09544100JAERO610
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
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.
引用
收藏
页码:293 / 309
页数:17
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