Preview

Civil Aviation High Technologies

Advanced search

Mathematical modelling of aeronautical environment

https://doi.org/10.26467/2079-0619-2020-23-5-67-75

Abstract

On the basis of the study of air flight control, as well as the need to take into account the regional parameters of the airspace, the expediency and the need for mathematical modeling of the air navigation environment were identified. The article deals with the features of the model of air navigation environment, in which the base of the study adopted the basic information used to describe the plan for the execution of air flight. In the study, it was found that in navigation main feature is the geodesic of abstraction, however, such information was found, is not complete for the plan for air flight. The study emphasized the role of taking into account all the restrictions by which certain prohibitions on the use of specific volumes of airspace are imposed. Based on the results obtained, a graph of the geometric representation of the airspace with constraints was constructed. The results of the study allow us to conclude that the construction of a mathematical model of the air navigation environment allows us to achieve the following results: optimization of the distribution of the EAP loads by sectors, visualization of the air navigation situation in the region, the establishment of critical load directions, the collection of data on the load, the study of the factor effects on the regularity and safety of the aircraft movement. The mathematical model of the aeronautical situation was built with the help of a composition of hierarchical type. As a result of such construction of mathematical model its transformation with addition of new models is possible. Using the proposed mathematical model in the framework of discrete event systems can be used to simulate complex air navigation environment with a large number of aircraft. The use of the formalism presented in this study allows a clear distinction between the mechanism of information processing and the information itself in the process of modeling.

About the Authors

D. E. Eshmuradov
Tashkent State Technical University Named After Islam Karimov
Uzbekistan

Dilshod E. Eshmuradov, Academician of the Academy of Sciences Turon, Candidate of Technical Sciences, Associate Professor of the Department of Metrology, Standardization, Certification

Tashkent



T. D. Elmuradov
Tashkent State Technical University Named After Islam Karimov
Uzbekistan

Temurmalik D. Elmuradov, Assistant, Department of Informatics and Information Technology

Tashkent



References

1. Lyudomir, A.V. and Orlov, V.S. (2014). Simulation of dynamical environment in controlled airspace. Journal of Applied Informatics, no. 5 (53), pp. 89–97. (in Russian)

2. Tel'puhovskaya, O.N. (2017). The modeling of air situation using object-oriented programming system. Civil Aviation High Technologies, vol. 20, no. 4, pp. 107–113. DOI: 10.26467/2079-0619-2017-20-4-107-113. (in Russian)

3. Kiselev, V.Yu. and Monakov, A.A. (2015). Aircraft trajectory prediction in air traffic control systems. Information and Control Systems, no. 4 (77), pp. 33–40. (in Russian)

4. Belyaev, Yu.B., Shmeleva, T.F., Kud, P.P. and Vlasov, S.A. (2007). Modelirovaniye zadach planirovaniya dvizheniya aviatsionnogo transporta v usloviyakh vysokodinamichnoy struktury vozdushnogo prostranstva s ispolzovaniyem formalizma diskretnykh situatsiy [Modeling of air transport traffic planning problems in conditions of highly dynamic airspace structure with the use of discrete situations formalism]. Elektronnyy arkhiv Kiyevskogo Natsionalnogo universiteta pishchevykh tekhnologiy, 10 p. Available at: http://dspace.nuft.edu.ua/jspui/bitstream/123456789/3478/1/Belyaev_2.pdf (accessed 10.07.2020). (in Russian)

5. Gabeidoulin, R.Kh. (2016). Matematicheskoye modelirovaniye metodov regulirovaniya vozdushnogo dvizheniya s uchetom nedostovernosti prognoza vozdushnoy obstanovki [Mathematical modeling methods of regulation of air traffic, taking into account the unreliability of the forecast of air environment]. Grazhdanskaya aviatsiya na sovremennom etape razvitiya nauki, tekhniki i obshchestva: sbornik tezisov dokladov uchastnikov Mezhdunarodnoy nauchno-tekhnicheskoy konferentsii, posvyashchennoy 45-letiyu Universiteta [Civil aviation at the present stage of development of science, technology and society: a collection of abstracts of the participants of the International Scientific and Technical Conference devoted to the 45th anniversary of the University], p. 174. (in Russian)

6. Wybo, S. (2003). Database delivery. Air Traffic Technology International, pp. 40–42.

7. Zolotukhin, V.V., Isayev, V.K. and Davidson, B.Kh. (2009). Nekotorye aktualnyye zadachi upravleniya vozdushnym dvizheniyem [Some actual problems of air traffic control]. Trudy MFTI, vol. 1, no. 3, pp. 94–114. (in Russian)

8. Eshmuradov, D.E. and Sayfullaeva, N.A. (2020). Questions of optimization of the distribution of downloads of air space by sectors. Teoriya i praktika sovremennoy nauki, no. 4 (58), pp. 201–204. (in Russian)

9. Muromtsev, D.Yu. and Yashin, Ye.N. (2012). Analiz i sintez diskretnykh system: uchebnoye posobiye [Analysis and synthesis of discrete systems: Tutorial]. Tambov: Izdatelstvo FGBOU VPO “TGTU”, 120 p. (in Russian)

10. Mikhaylov, D.D. (2015). Osnovy matematicheskogo modelirovaniya [Fundamentals of mathematical modeling]. Bulletin of the Technological University, no. 2, pp. 374–376. (in Russian)

11. Shpakov, V.M. (2017). About situation-event approach to control of interacting discretecontinuous processes. Information and Control Systems, no. 2 (87), pp. 26–33. DOI: 10.15217/issnl684-8853.2017.2.26. (in Russian)

12. Chow, A.C., Zeigler, B.P. and Kim, D.H. (1994). Abstract simulator for the parallel DEVS formalism. Fifth Annual Conference on AI and Planning in High Autonomy Systems, Gainesville, FL, USA, pp. 157–163. DOI: 10.1109/AIHAS.1994.390488


Review

For citations:


Eshmuradov D.E., Elmuradov T.D. Mathematical modelling of aeronautical environment. Civil Aviation High Technologies. 2020;23(5):67-75. https://doi.org/10.26467/2079-0619-2020-23-5-67-75

Views: 644


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2079-0619 (Print)
ISSN 2542-0119 (Online)