ASSESSMENT OF THE FLIGHT QUALITY IN VERTICAL PLANE

Authors

  • Y. V. Hryshchenko National Aviation University, Kyiv
  • S. V. Pavlova National Aviation University, Kyiv
  • D. M. Pipa National Aviation University, Kyiv
  • I. V. Kravets National Aviation University, Kyiv

DOI:

https://doi.org/10.18372/1990-5548.64.14861

Keywords:

Autocorrelation functions, indicated air speed, human factor, parameter amplitude, autocorrelation functions, spectrum analysis

Abstract

This article discusses the problem of the quality assessing of the crew An-148 piloting technique, taking into account the human factor. The calculations showed that the statistical distribution of the pitch angle does not contradict the normal distribution. It is known that the normal law of the distribution of parameters indicates a good quality piloting technique. An analysis of autocorrelation functions and its spectrum is proposed to quickly solve this problem. The assessment of the quality of the piloting technique by analyzing the autocorrelation function of the pitch angle and its spectrum is consistent with the estimation method according to the distribution laws. A good technique was established for piloting the An-148 pilot under normal piloting technique. It also offers a scheme of a warning system for failures of systems for displaying the values of the angle of attack or speed and an algorithm of actions in such cases.

Author Biographies

Y. V. Hryshchenko, National Aviation University, Kyiv

Avionics Department, Faculty of Air Navigation, Electronics and Telecommunications

Candidate of Science (Engineering). Associate Professor

orcid.org/0000-0002-1318-9354

S. V. Pavlova, National Aviation University, Kyiv

Avionics Department, Faculty of Air Navigation, Electronics and Telecommunications

Doctor of Engineering. Professor

D. M. Pipa, National Aviation University, Kyiv

Avionics Department, Faculty of Air Navigation, Electronics and Telecommunications

Student (Master’s degree in Engineering)

 

I. V. Kravets, National Aviation University, Kyiv

Avionics Department, Faculty of Air Navigation, Electronics and Telecommunications

Student (Master’s degree in Engineering)

References

Y. V. Hyshchenko, “Autocorrelation functions in determining the signs of the phenomenon of strengthening the dynamic stereotype of a pilot,” Academy Scientific Papers: Issue V, Part 1, State Flight Academy of Ukraine, DLAU, 2000, pp. 226–231. (in Russian)

Y. V. Hryschchenko, "Training pilots for flights in special situations, taking into account the phenomenon of strengthening the dynamic stereotype," Cybernetics and computer engineering, NAS of Ukraine, 2003, vol. 139, pp. 81–85. (in Russian)

Y. V. Hryschchenko, "Analysis of changes in the dynamic stereotype of pilots during flight training on an integrated simulator of an airplane," Cybernetics and computing engineering, NAS of Ukraine, 2004, vol 142, pp. 35–40. (in Russian)

V. D., Gulenko, Y. V. Hryschchenko, and V. M. Gribov, "Modeling and estimation of visual loss of roll angle by flight crews based on modular distributions of flight parameters," Cybernetics and computing engineering, NAS of Ukraine, 2010, vol. 160, pp. 43–56. (in Russian)

M. Zaliskyi, O. Solomentsev, R. Odarchenko, and S. Gnatyuk, "Research of Energy Characteristics of QAM Modulation Techniques for Modern Broadband Radio Systems," Electronics and Information Technology: IEEE International Conference, 23-27 May 2016, Proceedings, Odesa, 2016, pp, 53–58. https://doi.org/10.1109/ICEAIT.2016.7500991

Y. V. Hryschchenko and I. V. Kravets, "Signaling methods about deteriorating quality of aircraft flight," Scientific and Technical Conference "Problems of Development of Global Communications, Navigation, Observation and Organization of Air Traffic CNS/ATM", 21-23 of November, 2018, 66 p.

Y. V. Hryschchenko, I. V. Kravets, "Signaling methods about deteriorating quality of aircraft flight and training of pilots," XIV International Scientific and Technical Conference “Avia-2019”. Section 15 – State and prospects of avionics development, 2019, pp. 15.1–15.5.

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