Bounded distance control for Multi-UAV formation safety and preservation in target-tracking applications

被引:1
|
作者
Hegde, Aditya [1 ]
Aloor, Jasmine Jerry [2 ]
Ghose, Debasish [1 ]
机构
[1] Indian Inst Sci, Bangalore, Karnataka, India
[2] Indian Inst Technol Kharagpur, Kharagpur, W Bengal, India
关键词
barrier Lyapunov function; quadratic Lyapunov function; robot operating system; multi-objective control; distributed control; formation control; target tracking; safety;
D O I
10.1177/09544100221125970
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The notion of safety in multi-agent systems assumes great significance in many emerging collaborative multi-robot applications. In this paper, we present a multi-UAV collaborative target-tracking application by defining bounded inter-UAV distances in the formation in order to ensure safe operation. In doing so, we address the problem of prioritizing specific objectives over others in a multi-objective control framework. We propose a barrier Lyapunov function-based distributed control law to enforce the bounds on the distances and assess its Lyapunov stability using a kinematic model. The theoretical analysis is supported by numerical results, which account for measurement noise and moving targets. Straight-line and circular motion of the target are considered, and results for quadratic Lyapunov function-based control, often used in multi-agent multi-objective problems, are also presented. A comparison of the two control approaches elucidates the advantages of our proposed safe-control in bounding the inter-agent distances in a formation. A concluding evaluation using Robot Operating System simulations illustrates the practical applicability of the proposed control to a pair of multi-rotors visually estimating and maintaining their mutual separation within specified bounds, as they track a moving target.
引用
收藏
页码:1403 / 1416
页数:14
相关论文
共 50 条
  • [21] Systemic design of distributed multi-UAV cooperative decision-making for multi-target tracking
    Zhao, Yunyun
    Wang, Xiangke
    Wang, Chang
    Cong, Yirui
    Shen, Lincheng
    AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 2019, 33 (1-2) : 132 - 158
  • [22] Parameters Optimization of Multi-UAV Formation Control Method based on Artificial Physics
    Fu Yu
    Wang XiangKe
    Zhu HuaYong
    Yu YangGuang
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 2614 - 2619
  • [23] Formation control of Multi-UAV with collision avoidance using artificial potential field
    Wang, Yifan
    Sun, Xingyan
    2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 1, 2019, : 296 - 300
  • [24] Formation control and collision avoidance for multi-UAV systems based on Voronoi partition
    Hu, JinWen
    Wang, Man
    Zhao, ChunHui
    Pan, Quan
    Du, Chang
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2020, 63 (01) : 65 - 72
  • [25] Formation control and collision avoidance for multi-UAV systems based on Voronoi partition
    JinWen Hu
    Man Wang
    ChunHui Zhao
    Quan Pan
    Chang Du
    Science China Technological Sciences, 2020, 63 : 65 - 72
  • [26] Multi-UAV Formation Algorithm Based on Distributed Control Using Swarm Intelligence
    Kim, Moon-Jung
    Kim, Jeong-Hun
    Kim, Hyo-Jung
    Ryoo, Chang-Kyung
    JOURNAL OF THE KOREAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 2022, 50 (08) : 523 - 530
  • [27] Multi-UAV Formation Control in Complex Conditions Based on Improved Consistency Algorithm
    Tao, Canhui
    Zhang, Ru
    Song, Zhiping
    Wang, Baoshou
    Jin, Yang
    DRONES, 2023, 7 (03)
  • [28] Research on Distributed Control-Based Multi-UAV Cooperative Target Coverage Method
    Tao, Zhonglaing
    Zhou, Yihui
    2024 8TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION, ICRCA 2024, 2024, : 485 - 489
  • [29] Formation control and collision avoidance for multi-UAV systems based on Voronoi partition
    HU JinWen
    WANG Man
    ZHAO ChunHui
    PAN Quan
    DU Chang
    Science China(Technological Sciences), 2020, (01) : 65 - 72
  • [30] Multi-UAV Doppler Information Fusion for Target Tracking Based on Distributed High Degrees Information Filters
    Benzerrouk, Hamza
    Nebylov, Alexander
    Li, Meng
    AEROSPACE, 2018, 5 (01):