Year: 2024
Type: article
Abstract: The article examines the prerequisites for the development of unmanned technologies as key elements of military operations. The use of UAСs for military purposes has shown their extraordinary importance and effectiveness in providing intelligence, surveillance, logistics and performing combat missions with minimal risks to human life. Unmanned technologies have become key elements of modern military operations, increasing the accuracy and efficiency of actions on the battlefield. The aim of the article is to study the features of testing UACs in combat conditions, as well as identify directions of their further modernization. The work systematizes the legislative basis of the procedure for adopting UACs. The place and role of the Unmanned Systems Forces in the structure of the Armed Forces of Ukraine have been identified. A comparative characteristic of the classification of UACs according to the NATO STANAG 4670 standard and domestic legislation has been presented. The advantages and disadvantages of using UACs for military purposes have been identified. The classification of UAC types has been systematized. The volume of damage to enemy equipment within the scope of the supply of military UAVs under the “Army of Drones” integrated development project has been analyzed. The current state and scale of UAC development have been assessed. A comparative characteristic of the most famous kamikaze drones has been given. The features of testing a rotor-type reconnaissance drone (a reconnaissance unmanned aviation complex of the 1st class of the “multicopter” tactical type) have been considered. Conclusions have been made on the compliance of the technical data of the “Shmavik” UAC with the technical requirements based on the test results and on the results of operation in conditions of use of electronic warfare means. The following directions for the modernization of UACs have been proposed: increasing the range and resistance to electronic warfare, maneuverability and multitasking, integration of sensors, as well as automatic recognition of objects, due to the implementation of a specialized system based on computer vision with the use of machine learning algorithms and deep neural networks (artificial intelligence systems).
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407034051