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Impact Factor:0.400
Source:2012 Journal Citation Reports® (Thomson Reuters, 2013)

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

  1. P Stewart1
  2. D Gladwin2
  3. M Parr2
  4. J Stewart1
  1. 1School of Engineering, University of Lincoln, UK
  2. 2Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK


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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This Article

  1. doi: 10.1243/09544100JAERO610 Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering vol. 224 no. 3 293-309
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