Cognitive Information Converters of Pilot Activity Algorithms in «Crew – Рighly Automated Aircraft – Environment» System
I.S. Muraviev, Candidate of Engineering Sciences, trainee of test pilot training department of the 929th State Flight-Test Center; Astrakhan Region, Akhtubinsk
The displacement of the pilot by automation from the direct control circuit of the aircraft has led to the fact that the description of the pilot’s activity by such characteristics and indicators as workload and intensity is no longer relevant. In order to investigate the processes of interaction of pilots with the aircraft (AC) and the environment, a new understanding of the classification of pilot’s working information and its perception is needed. This is impossible without an algorithmic description of the modern pilot’s activity. The article proposes new indicators describing the process of functioning of the system «crew – highly automated aircraft – environment», allowing to identify the effective methods of safe existence of aircraft in the operating environment.
Keywords: activity algorithm, information, analysis, disarray, logical complexity, regulation.
References:
1. Kotik M.A. Short course in engineering psychology. Tallin. Valgus. 1971. 308 p.
2. Lyapunov A.A., Shestopal G.A. About the algorithmic description of control processes. Mathematical Education. Issue 2. Fizmatlitgiz. Мoscow. 1957. pp. 81–95.
3. Zarakovsky G.M. Psychophysiological analysis of labor activity. Мoscow. Nauka. 1966. 144 p.
4. Kovalenko G.V., Mikinelov A.L., Chepiga V.E. Flight operation. St. Petersburg. Nauka. 2016. 463 p.
5. G.V. Kovalenko. Improving the professional training of flight and dispatching personnel. Мoscow. Transport. 1996. 320 p.
6. Muraviev I.S., Kovalenko G.V. «Crew – automated aircraft – environment» system interaction problems. Bulletin of the St. Petersburg State University of Civil Aviation. 2018. No. 1(18). pp. 5–17.
7. Muraviev I.S., Kovalenko G.V. Helicopter pilots safe landing outside the airfield in conditions of uncertainty skills training methods. St. Petersburg. Nauka. 2017. 142 p.
8. Velichkovsky B.M. Cognitive science. Fundamentals of the psychology of cognition. In 2 v. V. 2. Мoscow. Academy. 2006. 432 p.
9. Kovalenko G.V., Muraviev I.S., Chepiga V.E., Moiseeva N.O. Quantitative calculation of the information that the pilot perceives when controlling an automated airplane. Flight problems and flight safety. 2018. No. 12. pp. 5–13.
10. Latash, Mark L. Biomechanics and motor control. Defining central concepts. – Department of Kinesiology, The Pennsylvania State University, PA, USA. Academic Press. 2016. 426 p. doi. org/10. 1016/C2013-0-18342-0.
11. Military engineering psychology. Мoscow. Voenizdat. 1970. 400 p.
12. GOST V 29.04. 002 – 84. State Standard of the USSR «System of standards of ergonomic requirements and ergonomic support. The algorithm and structure of the operator’s activity. General ergonomic requirements». Мoscow. USSR State Committee on Standards. 1984.
13. Bodner V.A. Operator and aircraft. Мoscow. Mechanical engineering. 1976. 224 p.
14. Miroshnichenko A.V. A320 aircraft piloting. Moscow. Publishing solutions. 2017. 46 p.
15. The aircraft operations manual A320 (AOM 320).
16. Velichkovsky B.M. Cognitive science. Fundamentals of the psychology of cognition. In 2 v. V. 2. Мoscow. Academy. 2006. 432 p.
17. Cybernetic problems of bionics: Analysis of biological prototypes. Edited by G.E. Pozdnyak & G.I. Rylsky. Moscow. Mir. 1971. 344 p.
18. Ignatyev M.B. Semantics and self-organization in nanoscale physics. Int. J. Computing Anticipatory Systems. Ed. D. Dubois. Liege. Belgium. HEC-ULg. 2008. Vol. 22. pp. 17–23.
19. Goodwin P.D. Human factors and pilot performance: Safety, First Aid and Survival. Air Pilot Publishing, 2006. – 244 p.
20. Jackendoff R.Foundations of language: Brain, meaning, grammar, evolution. NY. Oxford University Press. 2002. 247 р.
DOI: 10.34214/2312-5209-2022-33-1-65-76
