Cooperative Moving-Target Enclosing Control for Multiple Nonholonomic Vehicles Using Feedback Linearization Approach

被引:42
作者
Peng, Xiuhui [1 ,2 ]
Guo, Kexin [3 ]
Li, Xue [2 ]
Geng, Zhiyong [2 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 211106, Peoples R China
[2] Peking Univ, Coll Engn, Dept Mech & Engn Sci, State Key Lab Turbulence & Complex Syst, Beijing 100871, Peoples R China
[3] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100191, Peoples R China
来源
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2021年 / 51卷 / 08期
基金
中国国家自然科学基金;
关键词
Sensors; Observers; Position measurement; Vehicle dynamics; Feedback linearization; Stability analysis; Cameras; Circular formation; moving-target; nonholonomic vehicles; observer; PLANAR COLLECTIVE MOTION; DISTURBANCE REJECTION; TIME; CIRCUMNAVIGATION; STABILIZATION; REGRESSION; TRACKING; SYSTEMS; NETWORK; ROBOTS;
D O I
10.1109/TSMC.2019.2944539
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article investigates the moving-target circular formation control problem for multiple nonholonomic vehicles under a directed graph. First, a novel moving-target enclosing control scheme is proposed by using the feedback linearization approach, in which the design procedure of the cooperative controller is more straightforward. Compared with the existing literature, the designed controller relaxes some existing constraints and the corresponding stability analysis is more concise. Second, based on the distance measurements, the observers, including sliding-mode observer and relative position observer, are designed to estimate the relative position so that the global position measurements are not required. Therefore, the observer-based controller becomes more suitable for practical application. Numerical simulations are conducted to illustrate the effectiveness of the proposed controllers.
引用
收藏
页码:4929 / 4935
页数:7
相关论文
共 35 条
  • [31] Notion of Control-Law Module and Modular Framework of Cooperative Transportation Using Multiple Nonholonomic Robotic Agents With Physical Rigid-Formation-Motion Constraints
    Li, Wei
    [J]. IEEE TRANSACTIONS ON CYBERNETICS, 2016, 46 (05) : 1242 - 1248
  • [32] Fuzzy multiobjective cooperative surveillance of multiple UAVs based on distributed predictive control for unknown ground moving target in Chock for urban environment
    Hu, Chaofang
    Zhang, Zelong
    Yang, Na
    Shin, Hyo-Sang
    Tsourdos, Antonios
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 84 : 329 - 338
  • [33] Range-based target localization and pursuit with autonomous vehicles: An approach using posterior CRLB and model predictive control
    Hung, Nguyen T.
    Crasta, N.
    Moreno-Salinas, David
    Pascoal, Antonio M.
    Johansen, Tor A.
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 132 (132)
  • [34] A fault monitoring approach using model-based and neural network techniques applied to input-output feedback linearization control induction motor
    Harzelli, Imadeddine
    Menacer, Arezki
    Ameid, Tarek
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (06) : 2519 - 2538
  • [35] Collision-free Multiple Unmanned Combat Aerial Vehicles Cooperative Trajectory Planning for Time-critical Missions using Differential Flatness Approach
    Gu, Xueqiang
    Zhang, Yu
    Chen, Jing
    Shen, Lincheng
    [J]. DEFENCE SCIENCE JOURNAL, 2014, 64 (01) : 13 - 20