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Modeling obstacle avoidance strategies in UAV groups

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Category: Content №2 2025

Last Updated on 26 April 2025

Published on 30 November -0001

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Authors:

T.Keribayeva, orcid.org/0000-0001-7380-098x, Civil Aviation Academy, Almaty, the Republic of Kazakhstan

K.Koshekov, orcid.org/0000-0002-9586-2310, Civil Aviation Academy, Almaty, the Republic of Kazakhstan

K.Alibekkyzy*, orcid.org/0000-0002-6732-4363, D.Serikbayev East Kazakhstan Technical University, Oskemen, the Republic of Kazakhstan

A.Koshekov, orcid.org/0000-0001-7373-1494, Civil Aviation Academy, Almaty, the Republic of Kazakhstan

M.Ivanova, orcid.org/0000-0002-1130-0186, Dnipro University of Technology, Dnipro, Ukraine

* Corresponding author e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2025, (2): 206 - 213

https://doi.org/10.33271/nvngu/2025-2/206

Abstract:

Purpose. Modeling strategies for increasing the efficiency of unmanned technologies by combining small unmanned aerial vehicles into groups, developing methods and algorithms for decentralized control of operating modes using internal data transmission channels based on VLC laser technologies.

Methodology. This study was performed using system analysis, mathematical and computer modeling, and hardware implementation of optoelectronic devices. Effective obstacle avoidance by swarms of unmanned aerial vehicles (UAVs) was considered. Modeling of the complex motion of a UAV swarm was based on Newton’s second law with obstacle recognition along the trajectory. A three-dimensional domain with fixed obstacles was used for numerical modeling. Thirteen UAVs in a cube position were considered, which moved synchronously from the left wall (from the inlet to the outlet), avoiding obstacles in their path. Each drone made an avoidance decision, taking into account the position of the obstacle and its current position in space. The visualization was carried out using graphs of different types of obstacle avoidance. This process was repeated 10 times, after which the UAV trajectories were analyzed and compared. The results obtained demonstrated the effectiveness of the proposed algorithm.

Findings. The analysis of the interaction of system components, taking into account their mutual influence and dependencies, allowed the development of effective control strategies and coordination of several UAVs. This area of research is important for increasing the efficiency and reliability of group UAVs in various conditions and tasks, which reflects modern requirements for autonomous systems and their management.

Originality. For the first time, a substantiated approach to increasing the efficiency and reliability of group UAVs, taking into account their interaction and dependencies, is proposed to develop an effective management strategy for them, taking into account the current position in space and the coordinates of obstacles.

Practical value. Practical application of the proposed algorithm will ensure increased UAV efficiency based on the use of IG UAVs with receiving and transmitting systems based on VLC laser technologies to solve a wide range of applied tasks: monitoring of land resources, emergency and rescue operations, cartography and transport services, in military affairs.

Keywords: UAV, strategy, control, models, trajectory, obstacle detection, types of transformation

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