Countering groups of unmanned aerial vehicles controlled by swarm intelligence

Countering groups of unmanned aerial vehicles controlled by swarm intelligence

Michael S. Andryushchenko
Doctor of Technical Science, Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Professor of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Vadim Yu. Galaev
Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Adjunct of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey A. Sakhnov
Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Adjunct of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Sergey N. Tereshin
Military Order of Zhukov Institute of National Guard Troops of the Russian Federation, Adjunct of the Department of Military Scientific Research, 1, ul. L. Pilyutova, Saint Petersburg, 198206, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

Received December 10, 2024

Abstract
The article is devoted to the protection of stationary objects from the mass use of unmanned aerial vehicles (UAVs), including swarms using swarm intelligence methods. The main goal of the work is to develop a system that provides effective detection and suppression of attacking UAVs using multi–channel methods such as radar stations and optical sensors, as well as machine learning algorithms to improve the accuracy of threat recognition. Generators of powerful electromagnetic radiation are considered as a means of suppression. The work demonstrates the possibility of creating a coordinated system that combines ground-based command posts and protective UAVs with artificial intelligence to quickly respond to threats. The model developed for the analysis of combat missions shows the effectiveness of the system in protecting objects, and the conclusions emphasize the importance of a modern approach to detecting and eliminating threats, which significantly increases safety in modern combat conditions.

Key words
UAV, swarm intelligence, swarm UAV, air subsystem, ground subsystem, detection means, functional suppression, complex protection, defensive swarm, counteraction system.

Bibliographic description
Andryushchenko, M.S., Galaev, V.Yu., Sakhnov, S.A. and Tereshin, S.N. (2025), "Countering groups of unmanned aerial vehicles controlled by swarm intelligence", Robotics and Technical Cybernetics, vol. 13, no. 2, pp. 91-97, EDN: LNDEEX. (in Russian).

EDN
LNDEEX

UDC identifier
623.746-519:004.8

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