Development of a digital twin of a ground-based radio navigation system based on the principles of model-oriented design using the mathematical modeling environment Engee


Аuthors

Tsymbal M. *, Semichastnov A. **, Balakin D. A.***, Udalov N. ****

National Research University “Moscow Power Engineering Institute”, 14, Krasnokazarmennaya str., Moscow, 111250 Russia

*e-mail: vspishka.2000@mail.ru
**e-mail: SemichastnovAY@mpei.ru
***e-mail: dabalakin@yandex.ru
****e-mail: UdalovNN@mpei.ru

Abstract

The article presents the main stages of the development of a digital twin for a ground-based radio navigation system. A model-oriented design approach is chosen as the methodology for development. The mathematical modeling environment Engee is used as a tool to implement a ground-based radio navigation system.
The article also describes the basic components of the ground-based navigation system and presents the main results of modeling and processing output signals. Modeling is an essential stage in the development of any radio engineering system, as it provides a general understanding of the system, components, or sets of components. A digital twin (CD) is a virtual representation of a specific radio engineering system that can be used for testing and analysis.
The first stage of the development process for a digital twin follows the principles of model-oriented systems (MOS). The ground-based radio navigation system serves as the focus of research in this stage.
The article discusses the first stage (virtual prototype) of the development of a CD based on the principles of MOS, where the ground-based radio navigation system (RNS) acts as the object of research. As previously mentioned, there may be no OP at this stage of development.
The interest in ground-based RNCs is due to the fact that in critical situations regional and mobile ground-based military systems are more effective and less vulnerable than satellite systems, in addition, the manufacturer of the global GPS satellite system reserves the right to degrade the civil code over any areas of the earth's surface, which significantly reduces the scope of GPS. The task of determining the proper location of objects is actively solved in the navigation of ships and ships, as well as by increasing the noise immunity of the receiving and transmitting path.

Keywords:

digital twin, model-oriented design, Engee modeling environment, ground-based radio navigation system

References

  1. Balakin D.A., Kerskii E.V. Vestnik Kontserna VKO «Almaz-Antei», 2020, vol. 32, no. 1, pp. 10-18.
  2. GOST R 57700.37–2021. Komp’yuternye modeli I modelirovanie. Tsifrovye dvoiniki izdelii (GOST R 57700.37–2021. Computer models and modeling. Digital twin products), Moscow, Rossiiskii institut standartizatsii, 2021, 15 p.
  3. Kuznetsova S.V., Semenov A.S. Trudy MAI, 2023, no. 131. URL: https://trudymai.ru/eng/published.php?ID=175930. DOI: 10.34759/trd-2023-131-24
  4. Azad M. Madni, Carla C. Madni, Scott D. Lucero. Leveraging Digital Twin Technology in Model-Based Systems Engineering. Systems, Engineering, Computer Science, 2019, vol. 7. DOI: 10.3390/systems7010007
  5. Grieves M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication; A White Paper; Michael Grieves, LLC: Melbourne, FL, USA, 2014.
  6. Balakin D.A., Kal'shchikov A.A, Shalimova E.V. Spektral'nyi analiz signalov v matematicheskoi srede modelirovaniya Engee (Spectral analysis of signals in the mathematical modeling environment Engine), Moscow, Izd-vo MEI, 2024, 64 p.
  7. Popov E.P., Vereikin A.A., Nasonov F.A. Trudy MAI, 2021, no. 120. URL: https://trudymai.ru/eng/published.php?ID=161429. DOI: 10.34759/trd-2021-120-15
  8. Shestakov I.V., Safin N.R. Vestnik Kontserna VKO «Almaz-Antei», 2020, no. 1, pp. 64-78. DOI: 10.38013/2542-0542-2020-1-64-76
  9. Aleshechkin A.M., Valikhanov M.M., Kokorin V.I. Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta imeni akademika M.F. Reshetneva, 2007, vol. 17, no. 4, pp. 105-110.
  10. Tsymbal M.R. X Mezhdunarodnaya nauchno-prakticheskaya konferentsiya «Fundamental science and technology»: tezisy dokladov. Ufa, Nauchno-izdatel'skii tsentr "Vestnik nauki", 2022, pp. 181-190.
  11. Shipov I.A., Vetoshkin E.V. Izvestiya YuFU. Tekhnicheskie nauki, 2023, no. 1. pp. 31-40. DOI: 10.18522/2311-3103-2023-1-31-40
  12. S. Lo, Y.-H. Chen, S. Zhang, and P. Enge. Hybrid APNT: Terrestrial Radionavigation to Support Future Aviation Needs, Computer Science, Engineering, Environmental Science, (Tampa (FL), USA), 2014.
  13. Lonskii I.I., Kuzhelev P.D., Matveev A.S. Registratsiya rastrovogo izobrazheniya v MapInfo (Registration of a bitmap image in MapInfo), Moscow, MIIGAiK, 2014, 26 p.
  14. Lunetta R.S., Lyon J.G. Remote sensing and GIS accuracy assessment, CRC Press, 2004, 320 p.
  15. Shebshaevich V.S., Dmitriev P.P., Ivantsevich I.V. et al. Setevye sputnikovye radionavigatsionnye sistemy (Network satellite radio navigation systems), Moscow, Radio i svyaz', 1993, 408 p.
  16. Burenko E.A. Trudy MAI, 2022, no. 127. URL: https://trudymai.ru/eng/published.php?ID=170344. DOI: 10.34759/trd-2022-127-14
  17. Zhengqing Yun, Magdy F. Iskander. Ray tracing for radio propagation modeling: principles and applications, IEEE Access, 2015, no. 3, pp. 1089-1100. DOI: 10.1109/ACCESS.2015.2453991
  18. Glazyrina L.L., Karchevskii M.M. Chislennye metody (Numerical methods: a textbook), Kazan': Kazanskii universitet, 2012, 122 p.
  19. Kozlov A.V., Sharonov A.V. Aerospace MAI Journal, 2014, vol. 21, no. 1, pp. 163-168.
  20. Benefits and features of DMR. White paper, 2012, DMR Association. URL: file:///C:/Users/lenovo/Downloads/DMR-Association-White-Paper_Benefits-and-Features-of-DMR_160512.pdf
  21. Sentsov A.A., Korotkov V.A., Ivanov S.A., Turnetskaya E.L. Trudy MAI, 2023, no. 131. URL: https://trudymai.ru/eng/published.php?ID=175926. DOI: 10.34759/trd-2023-131-20


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

Вход