27th Congress of International Council of the Aeronautical Sciences, 19 - 24 September 2010, Nice, France
Paper ICAS 2010-10.4.2

PILOT LANDING CONTROL ANALYSIS USING NEURAL NETWORKS UNDER SEVERE FLIGHT CONDITIONS

R. Mori, Y. Yamaguchi, S. Suzuki
Univ. of Tokyo, Japan

Keywords: flight simulator, neural network, flare, wind shear

The pilot control at the visual approach has been modeled using neural network. Teaching data for several pilots are obtained in full-flight simulator experiments under severe flight conditions. The contribution ratios and sensitivity analysis results show the control strategies differ significantly among the pilots.

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