Email this article Development of an Intelligent Control Algorithm for a Group of Unmanned Aerial Vehicles
- Authors: Londikov V.A.1, Lukanov S.Y.1, Timoshevskaya O.Y.1
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Affiliations:
- Pskov State University
- Issue: Vol 11, No 2 (2024)
- Pages: 86-92
- Section: MATHEMATICAL AND SOFTWARE OF COMPUTЕRS, COMPLEXES AND COMPUTER NETWORKS
- URL: https://journal-vniispk.ru/2313-223X/article/view/266807
- DOI: https://doi.org/10.33693/2313-223X-2024-11-2-86-92
- EDN: https://elibrary.ru/MSWKVS
- ID: 266807
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Abstract
At the current moment, the development of scientific and technological progress is being update. In particular, the development and widespread use of unmanned aerial vehicles is particularly relevant. These technological innovations are capable of solving a whole range of tasks in completely different areas of human life, both domestic and professional. One of the subtasks of applying these solutions is the use of groups of unmanned aerial vehicles. However, a problem arises related to their control in space, which requires the development of new algorithms and approaches to its solution. The main purpose of the presented article is to perform an analysis regarding the issue of controlling a group of unmanned aerial vehicles. The paper presents the results of the development of the author's interpretation of an algorithm designed to control a group of unmanned vehicles. The algorithm of the bee colony taken as a basis. A special feature of the proposed algorithm is the modification due to the integration of artificial intelligence elements. It assumed that the use of the proposed approaches in practice would significantly increase the efficiency and ensure the autonomy of the tasks performed by a group of unmanned aerial vehicles. The main advantage of the developed intelligent algorithm is the capture of the maximum possible survey area with the available number of unmanned aerial vehicles in the group.
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##article.viewOnOriginalSite##About the authors
Vladimir A. Londikov
Pskov State University
Author for correspondence.
Email: redcat60@mail.ru
SPIN-code: 3960-5739
Cand. Sci. (Eng.), associate professor, Department of Information and Communication Technologies, Institute of Hybrid Technologies in Machine Tool Construction of the Union State
Russian Federation, PskovSergey Yu. Lukanov
Pskov State University
Email: lukanovysergey@gmail.com
postgraduate student, Department of Information and Communication Technologies, Institute of Hybrid Technologies in Machine Tool Construction of the Union State
Russian Federation, PskovOlga Yu. Timoshevskaya
Pskov State University
Email: olga.tim777@yandex.ru
SPIN-code: 3280-2702
Cand. Sci. (Eng.), associate professor, Department of Information and Communication Technologies, Institute of Hybrid Technologies in Machine Tool Construction of the Union State
Russian Federation, PskovReferences
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