FEATURES OF THE USE OF NEURAL NETWORKS IN THE DESIGN OF UAVS FOR FLIGHT IN THE STRATOSPHERE

Authors

DOI:

https://doi.org/10.18372/2306-1472.87.15566

Keywords:

neural networks, machine learning, power supply, stratospheric UAVs, energy efficiency, battery, solar

Abstract

Problems of application of neural networks during UAV design, and also questions of development of methods and algorithms of synthesis of neural network.

Author Biographies

Volodymyr Kharchenko, National Aviation University

Doctor of Engineering. Professor. Holder of a State Award in Science and Engineering of Ukraine. Winner of a State Prize of Ukraine in Science and Engineering. Director Aerospace Center Work at the National Aviation University, Kyiv, Ukraine. Education: Kyiv Civil Aviation Engineers Institute with a Degree in Radio Engineering, Kyiv, Ukraine (1967). Research area: management of complex socio-technical systems, air navigation systems and automatic decision-making systems aimed at avoidance conflict situations, space information technology design, air navigation services in Ukraine provided by СNS/АТМ systems.

Alexander Onishchenko, National Aviation University

PhD student, Junior researcher at the National Aviation University, Kyiv, Ukraine. Education: National Aerospace University "Kharkiv Aviation Institute", NAU "KhAI", Kharkiv,Ukraine.(2018). Research area: Control of folding social and technical systems, aeronautical systems and systems of automatic reception of solutions, adapted to unique conflict situations, aerial vehicle design, Flight dynamics and assessment of aircraft.

References

Babak S.V. (2016). Features of practical use of autonomous diagnostic complexes for thermal control of overhead power lines / SV Babak, MV Myslovych // Technical electrodynamics. № 1. - P.73-80.

Barsov V.I. (2008). The concept of creating a system for processing information of unmanned aerial vehicles based on the use of modular arithmetic / VI Barsov // Elektroinform. № 4. - pp. 9-11.

Belyaev Yu. B. (2003). Modeling of the decision-making process by the operator of the aviation ergatic system in special cases of flight / Yu.B. Belyaev, T.F. Shmelyova, Yu. V. Sikirda // Automation of production processes. № 2 (17). - pp. 17-23.

Bondarev D.I. (2015). System analysis and classification of group flights of unmanned aerial vehicles // XV International scientific-practical conference of young scientists and students "Flight. Modern problems of science ", April 2015: thesis add. - K .: NAU, - pp. 56-61.

Verba V.S., Tatarsky B.G. (2016). Complexes with unmanned aerial vehicles. In 2 books. M.: Radio Engineering,- 1352 p.

Voronovsky G.K., Makhotilo K.V., Petrashev S.N., Sergeev S.A. (1997). Genetic algorithms, artificial neural networks and problems of virtual reality. - Custom. - H .: OSNOVA, - pp. 99-112.

Galushkin A.I. (2010). Theory of neural networks. / А.І. Galushkin - M .: IPRZHR, - 348 p.

Golovkin B.A. (1973). Machine recognition and linear programming. - Moscow: Soviet Radio. - 100 p.

Dakhno N.B. (2015). Models of decision-making for remote control of unmanned aerial vehicles based on variational-gradient methods: author's ref. dis. on zdob. Science. degree of Cand. tech. Science: special. 05.13.06 "Inform. Technologies" / Dakhno Natalia Borysivna; State. University of Telecommunications. – K.,– pp. 2-14.

Deich A.M. (1979). Methods of identification of dynamic objects. - M: Energy, - pp. 117-144.

Zhivotovsky R.M. (2016). Improved method of adaptive control of signal parameters for unmanned aerial vehicles. Control, navigation and communication systems. № 3. - pp. 140-145.

Mesyura V.I., Vakhovskaya L.M. (2000). Fundamentals of designing artificial intelligence systems: Textbook. - Vinnytsia: VSTU, - 96 p.

Polishchuk D.O. (2015). Complex deterministic evaluation of complex hierarchical network systems: I. Description of the method / D.O. Polishchuk, O.D. Polishchuk, M.S. Yadzhak // System research and information technology. № 1.- pp. 21–31.

Rutkovskaya D. (2004). Neural networks, genetic algorithms and fuzzy systems / D. Rutkovskaya, M. Pilinsky, L. Rutkovsky. - M. Hotline -Telecom. - 112 p.

Stratiy A.V. (2015). Consolidation of information flows in air navigation systems // XV International scientific-practical conference of young scientists and students "Flight. Modern problems of science ", April 2015: thesis add. - K.: NAU,. - pp. 90-98.

Shmelyova T.F. (2015). Deterministic models of action of the aircraft crew in case of a special case in flight / T.F. Shmelyova, V.V. Shyshakov, О.V. Shostak // Science and Technology of the Air Force of the Armed Forces of Ukraine. № 2 (19). -pp. 33–37.

Published

2021-05-15

How to Cite

Kharchenko, V., & Onishchenko, A. . (2021). FEATURES OF THE USE OF NEURAL NETWORKS IN THE DESIGN OF UAVS FOR FLIGHT IN THE STRATOSPHERE. Proceedings of the National Aviation University, 87(2), 6–11. https://doi.org/10.18372/2306-1472.87.15566

Issue

Section

MODERN AVIATION AND SPACE TEHNOLOGY

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 > >>