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

P. Stewart*, D. Gladwin, M. Parr, J. Stewart

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article numberJAERO610
Pages (from-to)293-309
Number of pages17
JournalProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
Volume224
Issue number3
DOIs
Publication statusPublished - 5 Nov 2009
Externally publishedYes

Keywords

  • flight simulation
  • multi-objective design
  • fuzzy control optimization genetic algorithms

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