ECONOMIC BARRIERS TO THE INTRODUCTION OF AIRCRAFT CONTROL AUTOMATION TECHNOLOGIES AND MECHANISMS TO OVERCOME THEM

  • I.E. Selezneva V.A. Trapeznikov Institute of Control Sciences of the RAS
Keywords: Integrated aviation systems, highly automated aircraft, unmanned aircraft, the number of aircraft fleet, the length of the patrolled highway

Abstract

Operating organizations and potential consumers of aviation works and services may not
fully benefit from the introduction of non-emergency or highly automated aircrafts, introducing
them only locally, within the framework of traditional business models of aviation application,
often even in fixed volumes characteristic of aircraft of previous generations, with a higher cost of
operation. The aim of the work is to define the boundaries of the field of formation of integrated
aviation systems (IAS) as an effective mechanism for the introduction of aircrafts control automation
technologies, when the introduction of unmanned or highly automated aircrafts will be effective
in the formation of IAS. Based on the optimal patrol model, the numbers of aircraft fleet without
the formation of the IAS and with the formation of the IAS are calculated. The values of operating
costs and the values of fines and losses from emergencies with the formation of IAS with
unmanned and (or) highly automated aircrafts and without the formation of IAS with unmanned and (or) highly automated aircrafts and with manned aircrafts are determined. The dependence of
the IAS formation efficiency area on the studied parameters is determined. Parametric calculations
have been performed for the characteristic values of the parameters. It is shown that the
maximum economic effect can be achieved by the formation of optimal IAS with unmanned or
highly automated aircraft, in which, according to the global economic criterion, both the aircraft
fleet and its application strategy and the "response" business processes of the consumer of aviation
works and services are optimized. The boundaries of the cost values for the introduction of
automation technologies are determined depending on the length of the patrolled highway, when
the introduction of unmanned or highly automated aircraft will be effective only when forming an
IAS, and without the formation of an IAS, and when the introduction of unmanned or highly automated
aircraft will be ineffective, manned aircraft will be effective. Thus, an effective mechanism
for the dissemination of control automation technologies and improving the efficiency of business
processes in various industries is the formation of IAS by aviation equipment development organizations
and manufacturers, in the interests of potential consumers of aviation works and services.

References

1. Varyukhina E.V., Klochkov V.V. Intellektual'nye aviatsionnye tekhnologii obespecheniya
bezopasnosti poletov i priemlemoy obshchey stoimosti vladeniya aviatsionnoy tekhnikoy [Intelligent
aviation technologies to ensure flight safety and an acceptable total cost of ownership
of aviation equipment], Grazhdanskaya aviatsiya na sovremennom etape razvitiya nauki,
tekhniki i obshchestva: Sb. tezisov dokladov Mezhdunarodnoy nauchno-tekhnicheskoy
konferentsii, posvyashchennoy 100-letiyu otechestvennoy grazhdanskoy aviatsii [Civil aviation
at the current stage of development of science, technology and society: Sat. abstracts of reports
of the International Scientific and Technical Conference dedicated to the 100th anniversary of
domestic civil aviation]. Moscow: MGTU GA, 2023, pp. 441-443.
2. Glasov V.V., Zybin E.Yu., Kos'yanchuk V.V. Neparametricheskiy metod funktsional'noy
rekonfiguratsii sistemy upravleniya vozdushnogo sudna pri otkazakh ispolnitel'noy podsistemy
[Nonparametric method of functional reconfiguration of an aircraft control system in the event
of failures of the executive subsystem], Sb. tezisov dokladov IV Vserossiyskoy nauchnotekhnicheskoy
konferentsii «Modelirovanie aviatsionnykh sistem» [Collection of abstracts of
reports of the IV All-Russian Scientific and Technical Conference “Modeling of Aviation Systems”].
Moscow: GosNII AS, 2020, pp. 210-211.
3. Dutov A.V., Glasov V.V., Shakun A.V., Kos'yanchuk V.V., Zybin E.Yu., Lelikov M.A. Osnovnye
tseli, zadachi, etapy i tekhnologii intellektualizatsii kompleksov bortovogo oborudovaniya
perspektivnykh vozdushnykh sudov grazhdanskoy aviatsii [Main goals, objectives, stages and
technologies for intellectualization of on-board equipment complexes of promising civil aviation
aircraft], Tekhnika vozdushnogo flota [Air fleet technology], 2023, No. 1, pp. 26-35.
4. Eger S.M., Liseytsev N.K., Samoylovich O.S. Osnovy avtomatizirovannogo proektirovaniya
samoletov [Fundamentals of computer-aided aircraft design]. Moscow: Mashinostroenie,
1986, 232 p.
5. Egoshin S.F., Klochkov V.V. Zadachi razvitiya sanitarnoy aviatsii i sovershenstvovaniya
prostranstvennoy organizatsii zdravookhraneniya v Rossii [Tasks of developing sanitary aviation
and improving the spatial organization of healthcare in Russia], Rossiya: Tendentsii i
perspektivy razvitiya. Ezhegodnik [Russia: Trends and development prospects. Yearbook].
Moscow, 2020, pp. 628-637.
6. Egoshin S.F., Klochkov V.V. Integrirovannaya aviatsionnaya sistema obespecheniya
obshchestvennoy bezopasnosti [Integrated aviation system for ensuring public safety], Vestnik
Voronezhskogo instituta MVD Rossii [Bulletin of the Voronezh Institute of the Ministry of Internal
Affairs of Russia], 2021, No. 2, pp. 46-56.
7. Zheltov S.Yu., Kislitsyn Yu.D., Samoylov D.V., Khokhlov S.V. Sovremennye podkhody v
modelirovanii aviatsionnykh sistem [Modern approaches to modeling aviation systems], Sb.
tezisov dokladov IV Vserossiyskoy nauchno-tekhnicheskoy konferentsii «Modelirovanie
aviatsionnykh sistem» [Collection of abstracts of the IV All-Russian Scientific and Technical
Conference “Modeling of Aviation Systems”]. Moscow: GosNII AS, 2020, 5 p
8. Klochkov V.V., Nikitova A.K. Metody prognozirovaniya sprosa na bespilotnye letatel'nye
apparaty i raboty po vozdushnomu patrulirovaniyu [Methods for forecasting demand for unmanned
aerial vehicles and air patrol work], Problemy prognozirovaniya [Forecasting problems],
2007, No. 6, pp. 144-151.
9. Klochkov V.V., Rozhdestvenskaya S.M., Fridlyand A.A. Obosnovanie prioritetnykh napravleniy
razvitiya aviatsionnoy tekhniki dlya mestnykh vozdushnykh liniy [Justification of priority directions
for the development of aviation technology for local air lines], Nauchnyy vestnik
GosNII GA [Scientific Bulletin of the State Research Institute of Civil Aviation], 2018, No. 20
(331), pp. 93-102.
10. Klochkov V.V., Toporov N.B., Egoshin S.F. Integrirovannye aviatsionnye sistemy [Integrated
aviation systems], Upravlenie bol'shimi sistemami: Sb. trudov [Management of large systems:
Collection of works], 2021, No. 90, pp. 94-120.
11. Platonova A.V. Formirovanie innovatsionno-orientirovannoy integrirovannoy sredy v
aviastroenii [Formation of an innovation-oriented integrated environment in the aircraft industry],
Vestnik Yuzhno-Ural'skogo gosudarstvennogo universiteta. Seriya: ekonomika i
menedzhment [Bulletin of the South Ural State University. Series: economics and
management], 2021, Vol. 13, No. 3, pp. 132-138.
12. Selezneva I.E., Klochkov V.V., Egoshin S.F. Matematicheskaya model' mezhotraslevoy
koordinatsii strategiy razvitiya (na primere zdravookhraneniya i aviastroeniya) [Mathematical
model of intersectoral coordination of development strategies (using the example of healthcare
and aircraft manufacturing)], Upravlenie bol'shimi sistemami: Cb. trudov [Management of
large systems: Collection of works], 2022, Issue 99, pp. 57-80.
13. Tikhonov A.I. Organizatsionno-ekonomicheskie mekhanizmy vybora strategii razvitiya
predpriyatiya aviatsionnoy promyshlennosti [Organizational and economic mechanisms for
choosing a development strategy for an aviation industry enterprise], Vestnik akademii znaniy
[Bulletin of the Academy of Knowledge], 2020, No. 37 (2), pp. 325-330.
14. Anania .C., Rice S., ierce M., Winter S.R., Capps …Milner M.N. Public support for police
drone missions depends on political affiliation and neighborhood demographics, Technology in
Society, 2019, No. 57, pp. 95-103.
15. Boucher P. You wouldn’t have your granny using them: Drawing boundaries between acceptable
and unacceptable applications of civil drones, Science and Engineering Ethics, 2015,
22 (5), pp. 1391-1418. Retrieved from https://link-springercom.ezproxy.libproxy.db.erau.edu/
article/10.1007%2Fs11948-015-9720-7.
16. Brown J.P. The Effect of Automation on Human Factors in Aviation, The Journal of Instrumentation,
Automation and Systems, 2016, Vol. 3, No. 2, pp. 31-46.
17. Cameron E.D. Unmanned aircraft systems: Factors that affect the acceptance of unmanned
aircraft usage within the united states national airspace system. University of North Dakota,
2014. Retrieved from http://ezproxy.libproxy.db.erau.edu/.
18. Clothier R.A., Greer D.A., Greer D.G., Mehta A.M. Risk perception and the public acceptance
of drones, Risk Analysis Journal, 2015. Available at: https://doiorg.ezproxy.
libproxy.db.erau.edu/10.1111/risa.12330.
19. Kharoufah H., Murray J., Baxter G., Wild G. A review of human factors causations in commercial
air transport accidents and incidents: From to 2000–2016, Progress in Aerospace Sciences,
2018, Vol. 99, pp. 1-13.
20. Read G., O'Brien A., Stanton N.A., Salmon P.M. What is going on? Contributory factors to
automation-related aviation incidents and accidents, Proceedings of the Human Factors and
Ergonomics Society Annual Meeting, 2020, Vol. 64. Issue 1, pp. 1697-1701.
Published
2024-04-15
Section
SECTION I. PROSPECTS FOR THE APPLICATION OF ROBOTIC COMPLEXES