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.

This article deals with issues related to assessing the impact of the pilot's psychophysiological pressure on the quality of the flight piloting technique. The quality of the aircraft control technique was evaluated by changing one of the flight parameters, namely the pitch angle during the landing approach. The analysis of the autocorrelation functions of the controlled parameter and their spectra were used to conduct the research. The proposed mathematical apparatus makes it possible to track the moment the pilot's psychophysiological pressure increases to a state of emotional instability, build a function of its influence on the quality of the flight piloting technique, and develop an effective method of anti-stress training for crews.