APPLICATION OF METHODS OF THEORY OF IMPORTANCE OF CRITERIA FOR DETERMINATION OF ACTIVITIES OF PILOTS IN CONTROL OF AIRCRAFT WITH DIFFERENT LEVEL OF AUTOMATION
https://doi.org/10.51955/2312-1327_2024_3_103
Abstract
The formalization of the activities of pilots in the controlling of the latest generation aircraft (AC) is experiencing difficulties due to significant changes in the structure of human activity - the operator. For the most complete analysis of the procedure for controlling the activities of pilots when using various levels of automation, it turns out to be not enough to use only the mathematical apparatus of probability theory and decision-making methods in vague conditions. The article presents the result of applying the methods of the theory of the importance of criteria in order to determine the most rational choice of crew members' activity at various stages of flight and piloting modes of the latest generation aircraft.
About the Authors
G. V. Kovalenko
St. Petersburg State University of Civil Aviation named after Air Chief Marshal A.A. Novikov
Russian Federation
Russian Federation
Gennadiy V. Kovalenko, Doctor of technical sciences, professor
38, Pilotov Saint-Petersburg, 19621
I. S. Muravyev
St. Petersburg State University of Civil Aviation named after Air Chief Marshal A.A. Novikov
Russian Federation
Russian Federation
Ivan S. Muravyev, Candidate of Technical Sciences, assistant professor
38, Pilotov Saint-Petersburg, 19621
I. A. Yadrov
St. Petersburg State University of Civil Aviation named after Air Chief Marshal A.A. Novikov
Russian Federation
Russian Federation
Ilya A. Yadrov, graduate student
38, Pilotov Saint-Petersburg, 19621
References
1. Ayaz H., Dehais F. (2018). Neuroergonomics. New York: Academic Press. 2018. 366 p.
2. Brière D., Traverse P. (1993). AIRBUS A320/A330/A340 electrical flight controls-A family of faulttolerant systems. FTCS-23 The Twenty-Third International Symposium on Fault-Tolerant Computing. 616-623.
3. Collins P. (2020). Automation Max: Optimizing Ai and Human Intelligence in Aviation Hardcover. New York: Algora Pub, 2018. 174 p.
4. Miroshnichenko A. V. (2018). Maintaining manual piloting skills of the A320 aircraft with the autopilot engaged. Ekaterinburg: Publishing Solutions. 2018. 15 p. (In Russian)
5. Muravyev I. S. (2022а). Assessment of the functioning of the system "crew - highly automated aircraft – environment" on the basis of cognitive-information converters of pilots' activity algorithms. Quality and Life. 1(33): 65-76. DOI: 10.34214/2312-5209-2022-33-1-65-76. (In Russian)
6. Muravyev I. S. (2022б). Role and place of cognitive information converters of pilot activity algorithms in the process of control of highly automated aircraft. Crede Experto: transport, society, education, language. 1: 18-36. DOI 10.51955/23121327_2022_1_18. (In Russian)
7. Noghin V. D. (2006). The Edgeworth-Pareto Principle in terms of a fuzzy choice function. Computational Mathematics and Mathematical Physics. 46: 554-562.
8. Noghin V. D. (2015). Generalized Edgeworth–Pareto principle. Computational Mathematics and Mathematical Physics. 55: 1975-1980.
9. Parnell K. J., Wynne R. A., Plant K. L., Banks V. A., Griffin T. G., Stanton, N. A. (2022). Pilot decision‐making during a dual engine failure on take‐off: Insights from three different decisionmaking models. Human Factors and Ergonomics in Manufacturing & Service Industries. 32(3): 268285.
10. Podinovski V. V. (1999). A DSS for multiple criteria analysis with imprecisely specified trade-offs. European Journal of operational Research. 113(2): 261–270.
11. Podinovskiy V. V. (2019). Ideas and methods of criterion importance in multi-criteria decision-making problems. Moscow: Science. 2019.103 p. (In Russian)
12. Sarter N. B., Woods D. D. (1995). “From tool to agent”: The evolution of (cockpit) automation and its impact on human-machine coordination. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 39(1): 79-83.
13. Silva S. S., Hansman, R. J. (2015). Divergence between flight crew mental model and aircraft system state in auto-throttle mode confusion accident and incident cases. Journal of cognitive engineering and decision making. 9(4): 312-328.
14. Velichkovskii B. M. (1978) Visual Memory and Models of Human Information-Processing. Soviet Psychology. 16(8): 68-89.
15. Vidulich M. A., Wickens C. D., Tsang P. S., Flach J. M. (2010). Information processing in aviation. Human factors in aviation. 175-215.
Review
For citations:
Kovalenko G.V., Muravyev I.S., Yadrov I.A. APPLICATION OF METHODS OF THEORY OF IMPORTANCE OF CRITERIA FOR DETERMINATION OF ACTIVITIES OF PILOTS IN CONTROL OF AIRCRAFT WITH DIFFERENT LEVEL OF AUTOMATION. Crede Experto: transport, society, education, language. 2024;(3):103-116. (In Russ.) https://doi.org/10.51955/2312-1327_2024_3_103
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