Finite-Time Anti-Saturated Formation Tracking Control of Multiple Unmanned Aerial Vehicles: A Performance Tuning Way

被引:0
|
作者
Chen, Taoyi [1 ]
Lei, Yaolin [1 ]
Peng, Huixiang [1 ]
Chen, Yanqiao [1 ]
Chai, Xinghua [1 ]
Zhang, Zeyong [1 ]
机构
[1] 54th Res Inst CETC, Shijiazhuang 050081, Peoples R China
基金
中国国家自然科学基金;
关键词
unmanned aerial vehicles; actuator saturation; performance tuning control; finite-time control; 2ND-ORDER MULTIAGENT SYSTEMS; UAV FORMATION CONTROL; COLLISION-AVOIDANCE;
D O I
10.3390/math11204255
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
A highly effective control method is very important to guarantee the safety of the formation of flying missions for multiple unmanned aerial vehicles (UAVs), especially in the presence of complex flying environments and actuator constraints. In this regard, this paper investigates the formation tracking control problem of multiple UAVs in the presence of actuator saturation. Firstly, a brand-novel finite-time anti-saturated control scheme is proposed for multiple UAVs to track the desired position commands, wherein the tracking performance is tuned by introducing a logarithmic function-based state-mapping policy. Then, an adaptive scheme based on projection rules is devised to compensate for the negative effects brought by the actuator saturation. Based on the proposed formation tracking controller, the finite-time formation tracking performance tuning and control saturation problems can be addressed simultaneously with a comparatively allowable system robustness. Finally, three groups of illustrative examples are organized to verify the effectiveness of the proposed formation tracking control scheme.
引用
收藏
页数:24
相关论文
共 50 条
  • [41] Finite-time disturbance observer based accurate trajectory tracking control of an unmanned surface vehicle
    Wang N.
    Lyu S.-L.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (11): : 2491 - 2497
  • [42] Adaptive output-constrained finite-time formation control for multiple unmanned surface vessels with directed communication topology
    Jiang, Yunbiao
    Liu, Zhongxin
    Chen, Fei
    OCEAN ENGINEERING, 2024, 292
  • [43] Time-Varying Formation Tracking Control for Unmanned Aerial Vehicles with the Leader's Unknown Input and Obstacle Avoidance: Theories and Applications
    Li, Qing
    Hua, Yongzhao
    Dong, Xiwang
    Yu, Jianglong
    Ren, Zhang
    ELECTRONICS, 2022, 11 (15)
  • [44] Disturbance observer-based finite-time fault tolerant control of quadrotor unmanned aerial vehicles with command filtered and event-triggered techniques
    Sun, Yue
    Gai, Yulin
    Chen, Ming
    Wang, Huanqing
    Peng, Kaixiang
    Wu, Libing
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (13) : 8970 - 8995
  • [45] Robust Adaptive Finite-Time Prescribed Performance Attitude Tracking Control of Spacecraft
    Yao, Qijia
    INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES, 2021, 22 (05) : 1183 - 1193
  • [46] Robust Adaptive Finite-Time Prescribed Performance Attitude Tracking Control of Spacecraft
    Qijia Yao
    International Journal of Aeronautical and Space Sciences, 2021, 22 : 1183 - 1193
  • [47] Decentralized finite-time adaptive fault-tolerant synchronization tracking control for multiple UAVs with prescribed performance
    Yu, Ziquan
    Zhang, Youmin
    Liu, Zhixiang
    Qu, Yaohong
    Su, Chun-Yi
    Jiang, Bin
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (16): : 11830 - 11862
  • [48] Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles
    Wang, Ning
    Qian, Chunjiang
    Sun, Jing-Chao
    Liu, Yan-Cheng
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2016, 24 (04) : 1454 - 1462
  • [49] Distributed adaptive finite-time formation control of multiple UAV helicopter system
    Wang, Dandan
    Zong, Qun
    Zhang, Boyuan
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 2631 - 2636
  • [50] Distributed Finite-Time Coordinated Attitude Tracking Control for Multiple Spacecraft with Actuator Saturation
    Gao, Zhi
    Zhu, Zhihao
    Guo, Yu
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2020, 29 (13)