25th Congress of International Council of the Aeronautical Sciences, 3 - 8 September 2006, Hamburg, Germany
Paper ICAS 2006-6.9.3

THE APPLICATION OF GAUSSIAN COMPLEX WAVELET IN PIO DETECTION

F. L. Tian, Z. H. Gao, Z. G Yu*
Northwestern Polytechnic Univ., China; *Chinese Flight Test Establishment, China

Keywords: Wavelet Time-Frequency Analysis, Hyperbola-Gaussian Complex Wavelet, Pilot Induced Oscillation Detection

Both Gaussian and hyperbola-Gaussian complex wavelet identification techniques for detecting pilot-induced oscillation (PIO) are studied. Both complex wavelet filters are derived. A set of logic model and parameters for identifying PIO are determined. The results show both complex wavelets valid and feasible, but hyperbola-Gaussian one is better for real-time detecting.

view full paper