METHODS OF TRAINING OF MODERN AIRCRAFT FLIGHT CREWS FOR INFLIGHT ABNORMAL CIRCUMSTANCES

Authors

  • Yurii Hryshchenko National Aviation University
  • Viktor Romanenko National Aviation University
  • Vladimir Tronko National Aviation University
  • Yurii Hryshchenko National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.70.11424

Keywords:

correlation function, dynamic stereotype, glide path, negative factors

Abstract

Purpose: The purpose of this article is the theoretical justification of the existing methods and development of new methods of training the crews of modern aircraft for inflight abnormal circumstances. Methods: The article describes the research methods of engineering psychology, mathematical statistics and analysis of the correlation functions. Results: The example of the two accidents of aircraft with modern avionics is shown in the problem statement. The pilot made a sharp movement of the steering wheel while go-around, which has led to a sharp diving and impossibility of coming out of it. It was shown that the developed anti-stress training methods allow crews to train a human operator to prevent such events. The theoretical solution of the problem of optimization of the flight on the final approach, considering the human factor, is suggested to solve using the method of analysis of the autocorrelation function. Conclusions: It is necessary to additionally implement methods of teaching the counteracting of factorial overlaps into the training course using the complex modern aircraft simulators. It is enough to analyze a single pitch angle curve of the autocorrelation function to determine the phenomena of amplification of integral-differential motor dynamic stereotype of the pilot.

Author Biographies

Yurii Hryshchenko, National Aviation University

Candidate of Engineering. Associate Professor.

Associate Professor of the Department of avionics, National Aviation University, Kyiv, Ukraine.

Education: National Aviation University, Kyiv, Ukraine (1987).

Research area: flight safety and dependability of technical and ergonomics systems.

Viktor Romanenko, National Aviation University

Candidate of Engineering. Associate Professor

Associate Professor of the Department of avionics, National Aviation University, Kyiv, Ukraine,

Education: Kyiv Civil Aviation Engineers Institute, Kyiv, Ukraine (1988).

Research area: cavitation in liquid systems and optoelectronics.

Vladimir Tronko, National Aviation University

Doctor of Physics and Mathematics . Professor.

Professor of the Department of avionics, National Aviation University, Kyiv, Ukraine.

Education: Kyiv State Taras Shevchenko University, Ukraine (1962).

Research area: optoelectronics and laser technique and avionics link.

Yurii Hryshchenko, National Aviation University

Master.

Education: National Aviation University, Kyiv, Ukraine (Master, 2017).

Senior engineer. Department of intelligent control, International Research and Training Center for Information Technologies and Systems of NAS of Ukraine and MES of Ukraine.

Research area: flight safety and dependability of technical and ergonomics systems.

References

Shmelova T.F., Lazorenko V.A., Bilko A. Estimation of pre-simulating training tasks complexity. Proceedings of the National Aviation University, 2015, no. 1, pp. 17-22. doi: 10.18372/2306-1472.62.7760

Komar N.N., Korshunov N.V., Pavlov V.V. Model prostranstvennogo dvizheniya samoleta dlya kompleksnogo resheniya zadachi povyisheniya kachestva i bezopasnosti poleta [Model of spatial movement of the aircraft]. Kibernetika i vyichislitelnaya tehnika [Cybernetics and computing equipment], 2016, no. 183, pp. 70-78 (in Russian).

Kalnysh V.V., Shvets A.V. Informatsionnaya tehnologiya psihofiziolo¬gicheskogo obespecheniya vyisokoy nadezhnosti operatorskoy deyatelnosti [Information technology of psychophysiological maintenance of operator’s activity high reliability]. Kibernetika i vyichislitelnaya tehnika [Cybernetics and computing equipment], 2016, no. 177, pp. 54-67 (in Russian).

Shevchenko K.L., Shcherbina E.S., Yeremeyeva T.A. Correlation method for verification of human organism psychophysiological state. Electronics and Control Systems, 2016, no. 1, pp.11-15.

Mukhina M.P., Prymak A.P., Babeniuk A.N. Algorithm of forming and selecting of informative features in correlation extreme navigation system database. Electronics and Control Systems, 2016, no. 1, pp. 91-96.

Sushchenko O.A. Features of control of tracking modes. Electronics and Control Systems, 2016, no. 3, pp. 40-47.

Al-Ammori-Ali Zabezpechennia efektyvnosti informatsiino-keruiuchykh system povitrianykh suden [Process approach to ensure the effectiveness of information and control systems for aircraft]. Visnyk Natsionalnoho aviatsiinoho universytetu [Proceedings of the National Aviation University], 2008, no. 4, pp. 41-47. doi: 10.18372/2306-1472.37.1630 (in Ukrainian).

Hryshchenko Y.V. Scientific research on the anti-stress preparation of specialists in a quarter century. Proceedings of the National Aviation University, 2014, no. 1, pp. 53-58. doi: 10.18372/2306-1472.58.6692.

Hryshchenko Y.V., Skripets A.V., Tronko V.D. Autocorrelation functions and their application for assessing. Proceedings of the National Aviation University, 2015, no. 2, pp. 27-33. doi: 10.18372/2306-1472.63.8830.

Hryshchenko Y.V., Skripets A.V., Tronko V.D. Analiz vozmozhnosti upravleniya traektoriey dvizheniya samoleta po korrelyatsionnoy funktsii [Analysis of capability of control of aircraft trajectory of movement by the correlation function]. Kibernetika i vyichislitelnaya tehnika [Cybernetics and computing equipment], 2015, no. 181, pp. 35-46 (in Russian).

Published

28-03-2017

How to Cite

Hryshchenko, Y., Romanenko, V., Tronko, V., & Hryshchenko, Y. (2017). METHODS OF TRAINING OF MODERN AIRCRAFT FLIGHT CREWS FOR INFLIGHT ABNORMAL CIRCUMSTANCES. Proceedings of National Aviation University, 70(1), 66–72. https://doi.org/10.18372/2306-1472.70.11424

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL