Changing the Formations of Unmanned Aerial Vehicles

被引:0
作者
Falkowski, Krzysztof [1 ]
Kurenda, Maciej [1 ]
机构
[1] Mil Univ Technol, Inst Aviat Technol, Fac Mechatron Armament & Aerosp, Avion Dept, Kaliskiego 2, PL-00908 Warsaw, Poland
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 22期
关键词
unmanned aerial vehicle; mobile robotics; unmanned aerial system; formation; quadrotor; DESIGN;
D O I
10.3390/app142210424
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The development of hierarchical structures of unmanned aerial vehicles (UAVs) increases the efficiency of unmanned aerial systems. The grouping of UAVs increases the region of recognition or force of assault. Achieving these requirements is possible through a UAV formation. The UAVs in the formation must be controlled and managed by a commander, but the commander cannot control individual UAVs. The UAVs within the formation have assigned specific individual tasks, so is possible to achieve the flight of the formation with minimum collisions between UAVs and maximized equipment utilization. This paper aims to present a method of formation control for multiple UAVs that allows dynamic changes in the constellations of UAVs. The article includes the results of tests and research conducted in real-world conditions involving a formation capable of adapting its configuration. The results are presented as an element of research for the autonomy swarm, which can be controlled by one pilot/operator. The control of a swarm consisting of many UAVs (several hundred) by one person is now a current problem. The article presents a fragment of research work on high-autonomy UAV swarms. Here is presented a field test that focuses on UAV constellation control.
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页数:19
相关论文
共 35 条
[1]   Investigation of Autonomous Multi-UAV Systems for Target Detection in Distributed Environment: Current Developments and Open Challenges [J].
Adoni, Wilfried Yves Hamilton ;
Lorenz, Sandra ;
Fareedh, Junaidh Shaik ;
Gloaguen, Richard ;
Bussmann, Michael .
DRONES, 2023, 7 (04)
[2]   Design and flight-testing of non-linear formation control laws [J].
Campa, Giampiero ;
Gu, Yu ;
Seanor, Brad ;
Napolitano, Marcello R. ;
Pollini, Lorenzo ;
Fravolini, Mario L. .
CONTROL ENGINEERING PRACTICE, 2007, 15 (09) :1077-1092
[3]  
Chao W., 2021, P 2021 2 INT C ART I
[4]   Modeling and control of formations of nonholonomic mobile robots [J].
Desai, JP ;
Ostrowski, JP ;
Kumar, V .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2001, 17 (06) :905-908
[5]   Autonomous Quadcopter Landing on a Moving Target [J].
Gautam, Alvika ;
Singh, Mandeep ;
Sujit, Pedda Baliyarasimhuni ;
Saripalli, Srikanth .
SENSORS, 2022, 22 (03)
[6]   Fixed-Dynamics Antiwindup Design: Application to Pitch-Limited Position Control of Multirotor Unmanned Aerial Vehicles [J].
Ghignoni, Pietro ;
Invernizzi, Davide ;
Lovera, Marco .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 29 (06) :2654-2661
[7]   Auto-Tuning of Attitude Control System for Heterogeneous Multirotor UAS [J].
Hoshu, Ayaz Ahmed ;
Wang, Liuping ;
Sattar, Abdul ;
Fisher, Alex .
REMOTE SENSING, 2022, 14 (07)
[8]   UAV Group Formation Collision Avoidance Method Based on Second-Order Consensus Algorithm and Improved Artificial Potential Field [J].
Huang, Yang ;
Tang, Jun ;
Lao, Songyang .
SYMMETRY-BASEL, 2019, 11 (09)
[9]   Robust Team Formation Control for Quadrotors [J].
Jasim, Wesam ;
Gu, Dongbing .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 26 (04) :1516-1523
[10]   Neural Network Based Model Predictive Control for a Quadrotor UAV [J].
Jiang, Bailun ;
Li, Boyang ;
Zhou, Weifeng ;
Lo, Li-Yu ;
Chen, Chih-Keng ;
Wen, Chih-Yung .
AEROSPACE, 2022, 9 (08)