INVESTIGATION OF INTEGRATED CONTROL ALGORITHMS FOR UNMANNED AERIAL VEHICLE GROUPS

2024;
: 29-37
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University
3
Lviv Polytechnic National University
4
Lviv Polytechnic National University
5
Lviv Polytechnic National University

The main prospects for the group use of unmanned aerial vehicles (UAVs) were analyzed, the problems were identified, and the stages of its solution were proposed. The basic algorithms are analyzed, which are designed to achieve joint and coordinated actions of all elements of the system of integrated control of a group of UAVs, and are used in most approaches to ensure stable interaction between system components. The analysis of the most common mathematical models for controlling groups of UAVs was carried out, in particular: the Reynolds cohesion model, the artificial potential field model, and the leader-following model. The peculiarities of the operation of these models, common and distinctive features, advantages and disadvantages are determined. Based on the considered models and basic interaction algorithms, the algorithms of the components of the UAV group control system are proposed, and the sequence of actions during the interaction between the system components is also described. The main details of UAV group control algorithms are considered. The main aspects of the interaction of the system elements are given, which include messages of various categories used at different stages of the system's operation, in particular: synchronizing messages; group-wide control messages for managing the group as a whole; messages for correcting the flight of a specific UAV; notification of the transfer of statistical information for flight correction; notification of the launch and coordination of the task execution by a specific UAV. The use of joint messages for group management is described, which allows you to relieve the transmission channel, because the flight trajectories are calculated by each UAV individually, according to predetermined criteria. The main stages of the system's operation, the peculiarities of their implementation, the sequence of message transmission in each stage, as well as the basic details of the operation of some system components are described. Block diagrams are provided to display the process of system operation at various stages of flight, with a detailed description of the steps of system operation. The process of collecting statistical data from UAVs for dynamic flight adjustment of the group is described.

[1]   V. Golembo, R. Melnikov (2018) “Organization of work for a group of drones”, Computer Systems and Networks, 2018, no. 905, pp. 56-63. doi: 10.23939/csn2018.905.056

[2]   Hypothesis of simplicity, available at: http://studopedia.org/3-67094.html (Accessed 15 April 2024).

[3]   Eversham, J.D.; Ruiz, V.F. “Experimental analysis of the Reynolds flocking model”, Paladyn 2011, no. 2, pp. 145-155.doi: 10.2478/s13230-012-0001-8

[4]   V. Erofeeva, Y. Ivanskiy, V. Kiyaev (2015) “Swarm control of dynamic objects based on multi-agent technologies”, Computer tools in education, 2015, no. 6. pp. 34-42

[5]   Elkhan Sabziev (2021) “A control algorithm for joint flight of a group of drones”, Scientific Journal of Silesian University of Technology Series Transport, 2021, no. 110, pp. 157-167. doi:10.20858/sjsutst.2021.110.13

[6]   Dung D. Nguyen, Daniel Rohacs1 (2021) “Air traffic management of drones integrated into the smart cities”, 32nd congress of the International council of the Aeronautical sciences, available at: https://www.icas.org/ICAS_ARCHIVE/ICAS2020/data/papers/ICAS2020_0456_paper.pdf (Accessed 15 April 2024).

[7]   Chuhao Qin, Alexander Robins, Callum Lillywhite-Roake, Adam Pearce, Hritik Mehta, Scott James, Tsz Ho Wong, Evangelos Pournaras (2024) “M-SET: Multi-Drone Swarm Intelligence Experimentation with Collision Avoidance Realism”, available at: https://arxiv.org/html/2406.10916v1 (Accessed 23 June 2024).

[8]   Konrad Wojtowicz, Przemysław Wojciechowski (2023) “Synchronous Control of a Group of Flying Robots Following a Leader UAV in an Unfamiliar Environment”, Advanced Intelligent Control in Robots 2023, no. 23, p. 740. doi: 10.3390/s23020740

[9]   O. Tymochko, A. Trystan, O. Matiushchenko, N. Shpak, Z. Dvulit (2022) “Method of controlling a group of unmanned aircraft for searching and destruction of objects using artificial intelligence elements”, Mathematical Modeling and Computing, Vol. 9, no. 3, pp. 694-710. doi: 10.23939/mmc2022.03.694

[10]D. S. Morgan, I. B. Schwartz. “Dynamic coordinated control laws in multiple agent models”, 2005 US Naval Research Laboratory, pp. 7-10. doi: 10.23939/mmc2022.03.694

[11]Guoqiang Hao, Qiang Lv, Zhen Huang, Huanlong Zhao, Wei Chen. “UAV Path Planning Based on Improved Artificial Potential Field Method”, Aerospace 2023, 10, 562. doi: 10.3390/aerospace10060562

[12]Majeed, A.; Hwang, S.O. A “Multi-Objective Coverage Path Planning Algorithm for UAVs to Cover Spatially Distributed Regions in Urban Environments”, Aerospace 2021, 8, 343. doi: 10.3390/aerospace8110343