BUILDING A SWARM OF UNMANNED AERIAL VEHICLES FOR SIGNATURE FORMATION DURING TESTING OF HIGH-TECH WEAPONS AND MILITARY EQUIPMENT

In the article considers the problem of building a swarm of unmanned aerial vehicles for signature formation during the testing of high-tech weapons and military equipment. The formation of accurate signatures is a critical task in the in the process of testing modern military systems, as it determines the effectiveness of their use in real- world conditions. In particular, it allows to assess the characteristics of weapons, optimise tactical algorithms for their algorithms for its use and ensure the reliability of control systems. The study proposes a methodology that combines modern approaches to modelling of unmanned aerial vehicles using artificial intelligence algorithms and decentralised intelligence algorithms and decentralised control systems. The proposed model takes into account the following key aspects: adaptability to external conditions, dynamic change of swarm parameters in real time and the ability to perform complex manoeuvres to achieve the specified parameters of signature formation. Particular attention is paid to synchronising the actions of unmanned aerial vehicles as part of a swarm, which ensures high accuracy of signature formation even in the face of interference and constraints caused by the environment. The methodology includes the analysis of functional and technical and technical characteristics of individual unmanned aerial vehicles and their interaction within the within the swarm. The algorithms of communication between the devices are described, based on the principles of self-organisation and cooperative decision-making. An important element of the study of the study is the development of models for predicting swarm behaviour in complex conditions, which can significantly increase the system's resistance to external disturbances. In the article presents simulation results that confirm the effectiveness of the of the proposed approach. In particular, the influence of different swarm configurations on the accuracy of signature formation, as well as the effectiveness of the application of decentralised control in comparison with centralised control. The main advantages of using a swarm of unmanned aerial vehicles for this task are identified, in particular, increasing the speed of task execution, reducing the cost of technical support, and increasing the reliability of the system as a whole. The results obtained have important practical implications for the development and improvement of methods for testing of military equipment, as well as the creation of innovative approaches to the management of swarms of unmanned aerial vehicles. In the future, the methodology can be adapted for other tasks, such as reconnaissance, patrolling, and rapid and rapid response to threats.

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Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки
Published
2024-12-30
DOI
https://doi.org/10.37701/dndivsovt.22.2024.18
Citations
2
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
2.60
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article

BUILDING A SWARM OF UNMANNED AERIAL VEHICLES FOR SIGNATURE FORMATION DURING TESTING OF HIGH-TECH WEAPONS AND MILITARY EQUIPMENT

Andrii Bеrеzhnyi, A. Shulezhko, Andrii Trystan
2 citations
Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової техніки
Guidance and Control Systems
2.60
article

BUILDING A SWARM OF UNMANNED AERIAL VEHICLES FOR SIGNATURE FORMATION DURING TESTING OF HIGH-TECH WEAPONS AND MILITARY EQUIPMENT

Andrii Bеrеzhnyi, A. Shulezhko, Andrii Trystan
article en
2 citations

Abstract

In the article considers the problem of building a swarm of unmanned aerial vehicles for signature formation during the testing of high-tech weapons and military equipment. The formation of accurate signatures is a critical task in the in the process of testing modern military systems, as it determines the effectiveness of their use in real- world conditions. In particular, it allows to assess the characteristics of weapons, optimise tactical algorithms for their algorithms for its use and ensure the reliability of control systems. The study proposes a methodology that combines modern approaches to modelling of unmanned aerial vehicles using artificial intelligence algorithms and decentralised intelligence algorithms and decentralised control systems. The proposed model takes into account the following key aspects: adaptability to external conditions, dynamic change of swarm parameters in real time and the ability to perform complex manoeuvres to achieve the specified parameters of signature formation. Particular attention is paid to synchronising the actions of unmanned aerial vehicles as part of a swarm, which ensures high accuracy of signature formation even in the face of interference and constraints caused by the environment. The methodology includes the analysis of functional and technical and technical characteristics of individual unmanned aerial vehicles and their interaction within the within the swarm. The algorithms of communication between the devices are described, based on the principles of self-organisation and cooperative decision-making. An important element of the study of the study is the development of models for predicting swarm behaviour in complex conditions, which can significantly increase the system's resistance to external disturbances. In the article presents simulation results that confirm the effectiveness of the of the proposed approach. In particular, the influence of different swarm configurations on the accuracy of signature formation, as well as the effectiveness of the application of decentralised control in comparison with centralised control. The main advantages of using a swarm of unmanned aerial vehicles for this task are identified, in particular, increasing the speed of task execution, reducing the cost of technical support, and increasing the reliability of the system as a whole. The results obtained have important practical implications for the development and improvement of methods for testing of military equipment, as well as the creation of innovative approaches to the management of swarms of unmanned aerial vehicles. In the future, the methodology can be adapted for other tasks, such as reconnaissance, patrolling, and rapid and rapid response to threats.

Наукові праці Державного науково-дослідного інституту випробувань і сертифікації озброєння та військової технікиVol. 22(4)
Ivan Kozhedub Kharkiv National Air Force University (UA), Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine (UA)
Openalex Percentile: Top 7%
Guidance and Control Systems
2.60
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