Improving the Methods of Assessing the Quality of Aircrew Piloting Technique
DOI:
https://doi.org/10.18372/1990-5548.70.16775Keywords:
autocorrelation functions, human factor, parameter amplitude, spectrum analysis, flight simulator, director control modeAbstract
The article presents aircraft flight data in the landing approach mode, which was obtained on an integrated flight simulator and in actual flight conditions, processed by various probabilistic-statistical methods. These data were used to assess the quality of flight crew piloting techniques. We have reviewed the methods based on the Neyman–Pearson criterion, and the optimal Bayesian criterion is considered. When using them, we revealed the presence of a deterministic sinusoidal component in the flight parameters. We also used the method of analyzing autocorrelation functions and the method of analyzing the spectra of flight parameters of normalized and unnormalized autocorrelation functions. In a comparative analysis of these methods, we have shown that the most informative approach is the analysis of the spectra of flight parameters of normalized and unnormalized autocorrelation functions. This paper shows that the successful completion of the landing stage largely depends on the accuracy of the aircraft entry to the glidepath intercept point.
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