Improving the Safety of Spacecraft Launching into Orbit in Case of Emergencies on Board the Launch Vehicle
https://doi.org/10.17586/0021-3454-2025-68-9-774-780
Abstract
The problem of improving the safety of launching spacecraft into orbit in conditions of emergency situations during the flight phase of the first and second stages of the launch vehicle, when the consequences of emergency launch of space rocket cause the most significant damage to the ground infrastructure and the environment in the vicinity of the launch paths, is studied. The possibility is substantiated and a method is proposed to reduce damage from the consequences of emergency launches, based on a retrospective analysis of the features of emergency situations arising on board launch vehicles, formation of a base of scenarios for their development using digital twins technology, promptly determining, based on the results of neural network processing of telemetric information, situations that allow the possibility of correcting the output program, and the implementation of a rational option for correcting the withdrawal program in order to minimize the damage from the consequences of an emergency situation.
About the Authors
V. V. EfimovRussian Federation
Vladimir V. Efimov — Dr Sci., Professor; Department of Autonomous Control Systems; Professor
St. Petersburg
A. V. Sekin
Russian Federation
Alexey V. Sekin — Department of Autonomous Control Systems; Applicant
St. Petersburg
S. V. Silantyev
Russian Federation
Sergey B. Silantyev — PhD, Associate Professor; Department of Autonomous Control Systems; Associate Professor
St. Petersburg
References
1. https://www.kommersant.ru/doc/3766534. (in Russ.)
2. Klyushnikov V.Yu., Kuznetsov I.I., Osadchenko A.S. Bulletin of FSUE "NPO im. S. A. Lavochkin", 2013, no. 4, pp. 47–52. (in Russ.)
3. Averkiev N.F. Rezervnyye orbity kosmicheskikh apparatov (Backup Orbits of Spacecraft), St. Petersburg, 2015, 116 р. (in Russ.)
4. Averkiev N., Vlasov S., Kulvits A., Salov V. News of The Samara Scientific Center of The Russian Academy of Sciences, 2019, no. 1(21), pp. 105–113. (in Russ.)
5. Averkiev N.F., Bogachev S.A., Vlasov S.A. et al. Dvoynyye tekhnologii, 2017, no. 4(81), pp. 18–20. (in Russ.)
6. Kureev V.D., Minyaev S.I., Chernichenko V.B. Engineering Journal: Science and Innovation, 2023, no. 2, http://dx.doi.org/10.18698/2308-6033-2023-2-2253. (in Russ.)
7. Borovkov A.I., ed., Tsifrovyye dvoyniki v vysokotekhnologichnoy promyshlennosti (Digital Twins in the High-Tech Industry), St. Petersburg, 2022, 492 р. (in Russ.)
8. Prokushev N.I., Oleynikov E.P. Aktual'nyye problemy aviatsii i kosmonavtiki (Topical Problems of Aviation and Cosmonautics), Krasnoyarsk, April 11–15, 2022, vol. 1, рр. 151–153. (in Russ.)
9. Korolev D.V. Politechnical student journal, 2020, no. 04, pp. 1–16. (in Russ.)
10. Aggarwal Ch.C. Neural Networks and Deep Learning, Springer, 2018.
11. Simon D. Evolutionary Optimization Algorithms, Wiley, 2018, 776 р. .
Review
For citations:
Efimov V.V., Sekin A.V., Silantyev S.V. Improving the Safety of Spacecraft Launching into Orbit in Case of Emergencies on Board the Launch Vehicle. Journal of Instrument Engineering. 2025;68(9):774-780. (In Russ.) https://doi.org/10.17586/0021-3454-2025-68-9-774-780






















