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MATHEMATICAL AND SOFTWARE OF COMPUTÅRS, COMPLEXES AND COMPUTER NETWORKS
Development of an intelligent control algorithm for a group of unmanned aerial vehicles
V. A. Londikov, S. Yu. Lukanov, O. Yu. Timoshevskaya Pskov State University
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.
Keywords:
management, unmanned aerial vehicle, group, artificial intelligence, bee colony, machine learning.
Citation:
V. A. Londikov, S. Yu. Lukanov, O. Yu. Timoshevskaya, “Development of an intelligent control algorithm for a group of unmanned aerial vehicles”, Comp. nanotechnol., 11:2 (2024), 86–92
Linking options:
https://www.mathnet.ru/eng/cn483 https://www.mathnet.ru/eng/cn/v11/i2/p86
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Abstract page: | 38 | Full-text PDF : | 13 |
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