22nd Congress of International Council of the Aeronautical Sciences, Harrogate, UK, 28 August - 1st September, 2000
Paper ICAS 2000-6.5.R1

FLYING QUALITY STUDY UNDER THE INFLUENCE OF CLEAR AIR TURBULENCE

T. Wan, C. Chen
Department of Aerospace Engineering, Tamkang University, Taipei, Taiwan, ROC.

Keywords: clear air turbulence, prediction parameter, genetic algorithm

Clear air turbulence (CAT) is one of the most influential factor in flight safety and flight quality consideration. In this work we attempt to simulate CAT wind velocities, invent 3-D turbulence measuring and prediction parameters (indices), and using genetic algorithm (GA) to find the optimum escape trajectory. Results show moderate success and it is hoped that the concepts and techniques implemented in this work could be used in future airborne Doppler radar research and flight simulation practice.

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