A Formation Control Algorithm for Air-Ground Cooperative UAV

被引:1
|
作者
Chen, Mengyuan [1 ]
Li, Bo [1 ]
Wang, Jinglong [1 ]
Wang, Gang [2 ]
机构
[1] Harbin Inst Technol Weihai, Sch Informat Sci & Engn, Weihai, Peoples R China
[2] Harbin Inst Technol, Commun Res Ctr, Harbin, Peoples R China
关键词
air-ground coordination; UAV formation; formation control algorithm; based on behavior strategy algorithm; COORDINATION;
D O I
10.1109/WCSP55476.2022.10039110
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The development of unmanned aerial vehicle (UAV) formation control technology and air-ground cooperation technology make it possible to provide services for mobile users in harsh environments by UAV. According to the formation of system and control methods at the moment, this paper designs an improved algorithm based on behavior strategy: clearing cooperative UAV formation control algorithm by introducing space synergy of ideas and providing relay communication service for the ground users with four UAV formations and the corresponding position standards to complete the field synergy theory research of UAV formation control algorithm. Finally, the air-ground collaborative UAV modulation control algorithm is simulated using the Unity software platform to verify the feasibility of the algorithm in simulating the actual environment.
引用
收藏
页码:741 / 747
页数:7
相关论文
共 50 条
  • [31] Data-Driven Formation Control for Multiple Heterogeneous Vehicles in Air-Ground Coordination
    Zhao, Wanbing
    Liu, Hao
    Wan, Yan
    Lin, Zongli
    IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2022, 9 (04): : 1851 - 1862
  • [32] Dynamic UAV Deployment, Admission Control, and Power Control for Air-and-ground Cooperative Networks
    Wang, Chen
    Zhai, Daosen
    Cao, Haotong
    Zhang, Ruonan
    Li, Huan
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022,
  • [33] Cooperative Navigation for Heterogeneous Air-Ground Vehicles Based on Interoperation Strategy
    Shi, Chenfa
    Xiong, Zhi
    Chen, Mingxing
    Wang, Rong
    Xiong, Jun
    REMOTE SENSING, 2023, 15 (08)
  • [34] Informative Trajectory Planning for Air-Ground Cooperative Monitoring of Spatiotemporal Fields
    Li, Zhuo
    Guo, Yunlong
    Wang, Gang
    Sun, Jian
    You, Keyou
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2025, 22 : 2627 - 2638
  • [35] Air-ground integration dynamics in exchange of information for control
    Corker, KM
    Fleming, K
    Lane, J
    NEW CONCEPTS AND METHODS IN AIR TRAFFIC MANAGEMENT, 2001, : 125 - 141
  • [36] A Novel Air-Ground Coordinated Approach for UAV Autonomous Landing on a Mobile Platform
    Wang, Jiaqing
    Wei, Changyun
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 2033 - 2043
  • [37] Application of Intelligent UAV Perception Technology in Air-Ground Unmanned Collaborative System
    Xia, Xuejiao
    Zou, Dan
    Xu, Wei
    Han, Jin
    Zhao, Ziye
    Liu, Jia
    PROCEEDINGS OF 2022 INTERNATIONAL CONFERENCE ON AUTONOMOUS UNMANNED SYSTEMS, ICAUS 2022, 2023, 1010 : 3895 - 3904
  • [38] Precedence-constrained path planning of messenger UAV for air-ground coordination
    Yulong Ding
    Bin Xin
    Jie Chen
    Control Theory and Technology, 2019, 17 : 13 - 23
  • [39] Cooperative Control of Air-Ground Swarms Under DoS Attacks via Cloud-Fog Computing
    Li, Jiacheng
    Yu, Dengxiu
    Ma, Wenhui
    Liu, Jason J. R.
    Liu, Yan-Jun
    IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 11 (05): : 4278 - 4292
  • [40] Control of an air-ground amphibious vehicle flight system
    Wang, Zheng-Jie
    Ma, Jian
    Zhu, Hang
    Wang, Jian-Zhong
    Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2015, 35 (12): : 1257 - 1261