Научный рецензируемый сетевой электронный журнал
Системы управления, связи и безопасности
Systems of Control, Communication and Security
ISSN 2410-9916

Model for Assessing Control Continuity in a Group of Unmanned Aerial Vehicles in Automatic and Manual Control Modes

A. A. Medvedev1

1Military Telecommunications Academy.

DOI 10.24412/2410-9916-2026-3-198-238

PDF Full text

PDF XML JATS

Abstract

Purpose. The effectiveness of unmanned aerial vehicle (UAV) employment is determined not only by their flight performance characteristics but also by the stability of the radio control channels used to transmit control commands, telemetry, service information, and video data. When several UAVs are employed simultaneously, the load on the radio channel and the demand for the available frequency resources increase. A particularly significant increase in throughput requirements occurs when one or more UAVs are switched to manual control because video streams and manual control commands must be transmitted. With limited frequency resources, this may degrade video quality, increase command transmission delay, and create a risk of losing stable control of individual UAVs. The purpose of this study is to develop a model for assessing control continuity in a UAV group based on local radio-channel quality coefficients that reflect compliance with throughput, message delivery delay, and bit error probability requirements at different mission stages. Methods. The control process is represented as a sequence of stages. For each stage, normalized partial coefficients are calculated to characterize compliance with the requirements for throughput, message delivery delay, and bit error probability. The maximum throughput is determined using a modified Shannon formula that accounts for the allocated bandwidth, the signal-to-noise-plus-interference ratio, and the radio-channel utilization factor. A composite assessment is obtained by multiplicative aggregation of the partial coefficients. Novelty. A stage-based model for assessing control continuity in a UAV group has been developed. The model jointly accounts for the control mode actually used, limited frequency resources, the allocated bandwidth, achievable and required throughput, message delivery delay, and bit error probability. It provides a normalized, non-binary assessment of control continuity for both an individual UAV and the group as a whole. Results. A computational model has been developed that provides a normalized, non-binary assessment of control continuity in a UAV group over a sequence of mission stages. The resulting integral indicator ranges from 0 to 1 and characterizes the degree of compliance with the requirements imposed on the group's radio control channels. An indicator value close to 1 corresponds to a high degree of compliance with the throughput, message delivery delay, and bit error probability requirements, whereas a value close to 0 indicates a substantial decrease in this degree of compliance. Practical relevance. The model can be used to compare communication arrangements, justify the allocation of frequency resources, select control modes, and identify the conditions under which switching a UAV to manual control reduces radio-channel quality.

Key words

unmanned aerial vehicle, UAV group, control continuity, radio control channel, frequency resources, throughput, delay, bit error probability, integral indicator, tactical command level.

Reference for citation

Medvedev A. A. Model for Assessing Control Continuity in a Group of Unmanned Aerial Vehicles in Automatic and Manual Control Modes. Systems of Control, Communication and Security, 2026, no. 3, pp. 198-238. DOI: 10.24412/2410-9916-2026-3-198-238 (in Russian).

References

1. EASA publishes Easy Access Rules for Unmanned Aircraft Systems -- Revision from July 2024. European Union Aviation Safety Agency, 10 July 2024. Available at: https://www.easa.europa.eu/en/newsroom-and-events/news/easa-publishes-easy-access-rules-unmanned-aircraft-systems-revision-july (accessed 30 July 2026).

2. Conducting Extended BVLOS Operations in Challenging Terrain Leveraging Path and Link Diversity for Highly Reliable C2: Final Report. Bigfork, MT, uAvionix Corporation, 2024. 87 p. Available at: https://www.faa.gov/uas/programs_partnerships/BAA/BAA004-uAvionix%E2%80%93Conducting-Extended-BVLOS-Operations-in-challenging-terrain.pdf (accessed 30 July 2026).

3. Perez-Castan J. A., Rodriguez-Sanz A., Gomez Comendador V. F., Arnaldo Valdes R. M. ATC Separation Assurance for RPASs and Conventional Aircraft in En-Route Airspace. Safety, 2019, vol. 5, no. 3, article 41. DOI: 10.3390/safety5030041.

4. Hosseini N., Jamal H., Haque J., Magesacher T., Matolak D. W. UAV Command and Control, Navigation and Surveillance: A Review of Potential 5G and Satellite Systems. 2019 IEEE Aerospace Conference, Big Sky, MT, USA, 2019, pp. 1--10. DOI: 10.1109/AERO.2019.8741719.

5. Trinh M. L., Nguyen D. T., Dinh L. Q., Nguyen M. D., Setiadi D. R. I. M., Nguyen M. T. Unmanned Aerial Vehicles (UAV) Networking Algorithms: Communication, Control, and AI-Based Approaches. Algorithms, 2025, vol. 18, no. 5, article 244. DOI: 10.3390/a18050244.

6. Stevenson J. D., O'Young S., Rolland L. Assessment of Alternative Manual Control Methods for Small Unmanned Aerial Vehicles. Journal of Unmanned Vehicle Systems, 2015, vol. 3, no. 3, pp. 73--94. DOI: 10.1139/juvs-2015-0007.

7. Cox J., Wong K. C. Predictive Feedback Augmentation for Manual Control of an Unmanned Aerial Vehicle with Latency. International Journal of Micro Air Vehicles, 2019, vol. 11, pp. 1--9. DOI: 10.1177/1756829319869645.

8. Tokarev Y. P. Application data link to control unmanned aerial vehicles. Computing, Telecommunications and Control, 2010, no. 6 (113), pp. 7--10 (in Russian).

9. Prokopyev I. V., Betskov A. V. Struktura sistemy upravleniya bespilotnykh letatel'nykh apparatov spetsial'nogo naznacheniya [Structure of the Control System for Special-Purpose Unmanned Aerial Vehicles]. Nadezhnost' i kachestvo-2012: trudy Mezhdunarodnogo simpoziuma: v 2 t. [Reliability and Quality 2012: Proceedings of the International Symposium: in 2 Vols.], Penza, Penza State University Publ., 2012, vol. 1, pp. 84--85 (in Russian).

10. Belonozhko D. G. An algorithm for ensuring the required level of stability of control of an unmanned aerial vehicle in the conditions of counteraction. Programmnye produkty i sistemy, 2022, vol. 35, no. 1, pp. 95--105. DOI: 10.15827/0236-235X.137.095-105 (in Russian).

11. Vasilchenko A. S., Ivanov M. S., Malyshev V. A. Unmanned aerial vehicles flight zones formation, based on their control stability degree in air defense and electronic warfare conditions. Systems of Control, Communication and Security, 2019, no. 4, pp. 262--279. DOI: 10.24411/2410-9916-2019-10410 (in Russian).

12. Vasilchenko A. S., Ivanov M. S., Kolmykov G. N. Unmanned aerial vehicles flight routes formation, taking into account the location of air defense and electronic warfare means. Systems of Control, Communication and Security, 2019, no. 4, pp. 403--420. DOI: 10.24411/2410-9916-2019-10416 (in Russian).

13. Prokopyev I. V. Zhivuchest' sistemy upravleniya bespilotnogo letatel'nogo apparata. Diss. dokt. tekhn. nauk [Survivability of an unmanned aerial vehicle control system. Extended Abstract of Dr. habil. Thesis]. Moscow, 2013. 34 p. (in Russian).

14. Kutakhov V. P., Mescheryakov R. V. Group control of unmanned aerial vehicles: a generalized problem statement of applying artificial intelligence technologies. Control Sciences, 2022, no. 1, pp. 67--74. DOI: 10.25728/pu.2022.1.5 (in Russian).

15. Zhu Y. Formation of flight control for a group of unmanned aerial vehicles based on algorithm of multi-agent swarm model. Computing, Telecommunications and Control, 2022, vol. 15, no. 4, pp. 22--36. DOI: 10.18721/JCSTCS.15402 (in Russian).

16. Kudrov M. A., Bukharov K. D., Zakharov E. A., Mahotkin D. R., Krivoshein N. E., Grishin N. A., Semenkin V. Intelligent control algorithm for a group of unmanned aerial vehicles. Informatsionnyye tekhnologii i vychislitelnyye sistemy, 2019, no. 4, pp. 3--11. DOI: 10.14357/20718632190401 (in Russian).

17. Londikov V. A., Lukanov S. Yu., Timoshevskaya O. Yu. Development of an Intelligent Control Algorithm for a Group of Unmanned Aerial Vehicles. Computational Nanotechnology, 2024, vol. 11, no. 2, pp. 86-92. DOI: 10.33693/2313-223X-2024-11-2-86-92 (in Russian).

18. Bokovoy A. V. Automatic control system's architecture for group of small unmanned aerial vehicles. Informatsionnyye tekhnologii i vychislitelnyye sistemy, 2018, no. 1, pp. 68--77. DOI: 10.14357/20718632180109 (in Russian).

19. Verba V. S. Optimization of Control of Unmanned Aircraft, Providing Their Consistent Movement Along the Route with a Prescribed Topology. Journal of Communications Technology and Electronics, 2022, vol. 67, no. 1, pp. 68-77. DOI: 10.31857/S0033849422010107 (in Russian).

20. Mescheryakov A. K., Potyupkin A. Y. Organizing the group robotic UAV systems operation based on the targeted technological effects. BMSTU Journal of Mechanical Engineering, 2024, no. 10, pp. 20-29 (in Russian).

21. Makarenko S. I., Medvedev A. A., Zelenov A. V. Improved method of airborne assault operation with unmanned aerial vehicles. Aerospace forces. Theory and practice, 2025, no. 35, pp. 17-30 (in Russian).

22. Medvedev A. A. Osobennosti obespecheniya razvedyvatel'noy zashchishchennosti i zhivuchesti polevykh uzlov svyazi punktov upravleniya na osnove opyta spetsial'noy voennoy operatsii [Features of Ensuring Reconnaissance Protection and Survivability of Field Communication Nodes of Command Posts Based on the Experience of the Special Military Operation]. I seminar nauchnoy shkoly professora S. I. Makarenko: sbornik tezisov dokladov konferentsii [First Seminar of the Scientific School of Professor S. I. Makarenko: Collection of Conference Abstracts], Saint Petersburg, 20--21 December 2025. Saint Petersburg, Naukoemkie Tekhnologii Publ., 2026, pp. 37--40 (in Russian).

23. Luk'yanchik V. N., Medvedev A. A. Povyshenie ustoychivosti upravleniya i svyazi robototekhnicheskimi kompleksami spetsial'nogo naznacheniya [Improving the Stability of Control and Communication with Special-Purpose Robotic Systems]. Kompleksnye tekhnologii v mekhanike i transportnom stroitel'stve: sbornik statey IV Vserossiyskoy nauchno-prakticheskoy konferentsii, posvyashchennoy pamyati professora G. N. Gavrilova [Complex Technologies in Mechanics and Transport Construction: Proceedings of the 4th All-Russian Scientific and Practical Conference Dedicated to the Memory of Professor G. N. Gavrilov]. Saint Petersburg, Peterhof, 17 December 2025. Saint Petersburg, Peterhof, Voennyi institut zheleznodorozhnykh voisk i voennykh soobshchenii Publ., 2025, pp. 344--351 (in Russian).

24. Makarenko S. I., Kozlov K. V. Automated control system for unmanned aerial vehicles when they jointly figure out combat missions. Systems of Control, Communication and Security, 2025, no. 1, pp. 131-155. DOI: 10.24412/2410-9916-2025-1-131-155 (in Russian).

25. Ivanov M. S., Afonin I. E., Makarenko S. I. Increasing stability of the control system of unmanned aerial vehicles in the conditions of fire damage and electronic warfare. Systems of Control, Communication and Security, 2022, no. 2, pp. 92-134. DOI: 10.24412/2410-9916-2022-2-92-134 (in Russian).

26. Ivanov M. S., Ponamorev A. V., Makarenko S. I. Increasing data transmission rate technique in an aerial radio communication network for control of aircrafts through the adaptive frequency-time network resource distribution taking into account the transmitted teletraffic intensity. Systems of Control, Communication and Security, 2022, no. 1, pp. 104-139. DOI: 10.24412/2410-9916-2022-1-104-139 (in Russian).

27. Ivanov M. S., Ponamorev A. V., Makarenko S. I. Simulation of the teletraffic that transmitted in a radio channel of control combat aircraft. Part 1. Non-stationary teletraffic intensity model at various flight stages. Systems of Control, Communication and Security, 2021, no. 6, pp. 120-147. DOI: 10.24412/2410-9916-2021-6-120-147 (in Russian).

28. Makarenko S. I. Counter Unmanned Aerial Vehicles. Part 3. Electronic Warfare against Navigation and Radio Connection Subsystems of Unmanned Aerial Vehicles. Systems of Control, Communication and Security, 2020, no. 2, pp. 101-175. DOI: 10.24411/2410-9916-2020-10205 (in Russian).

 

cc-by This article is distributed under a license Creative Commons Attribution 4.0 License.

cc0  The metadata of the article is distributed under a license CC0 1.0 Universal

 

О журнале

Выпуски журнала

2026: №1

Авторам

Рецензентам

Всем


На сайте работает система проверки ошибок. Обнаружив неточность в тексте, выделите ее и нажмите Ctrl + Enter.