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

By P. Stewart, D. Gladwin, M. Parr and J. Stewart

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

Topics: H660 Control Systems, G700 Artificial Intelligence, H400 Aerospace Engineering
Publisher: Institution of Mechanical Engineers
Year: 2010
DOI identifier: 10.1243/09544100JAERO610
OAI identifier: oai:eprints.lincoln.ac.uk:2226

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