A Flexible Collision Avoidance Strategy for the Formation of Multiple Unmanned Aerial Vehicles

被引:18
作者
Zhu, Xu [1 ]
Liang, Yufei [1 ]
Yan, Maode [1 ]
机构
[1] Changan Univ, Sch Elect & Control Engn, Xian 710064, Shaanxi, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Collision avoidance; Safety; Topology; Task analysis; Unmanned aerial vehicles; Null space; Unmanned aerial vehicle; collision avoidance; formation keeping; improved artificial potential field; null space behavioral; OBSTACLE AVOIDANCE; ENCOUNTER MODEL; SYSTEMS; FLIGHT; UAV;
D O I
10.1109/ACCESS.2019.2944160
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 paper develops a flexible collision avoidance strategy for the formation of multiple unmanned aerial vehicles (multi-UAV). Firstly, To make full use of the information flow from the communication of the formation, an improved artificial potential field (IAPF) function is constructed by adding the communication topology and communication weights. Based on the IAPF functions, both collision avoidance within the formation and obstacle avoidance outside the formation are well organized to ensure flight safety. Secondly, to fuse collision avoidance and formation keeping, we design the null space behavioral (NSB) approach to combine them into a single motion command, where the formation keeping algorithm is designed as a second-order consensus algorithm. In this way, the flexible collision avoidance strategy is proposed based on IAPF and consensus, handling the relationship between collision avoidance and formation keeping flexibly. Finally, three-dimensional multi-UAV flight simulation validates the effectiveness of the proposed strategy that the formation can both implement collision avoidance quickly and keep a good geometric formation configuration simultaneously.
引用
收藏
页码:140743 / 140754
页数:12
相关论文
共 34 条
  • [1] Formation control of VTOL Unmanned Aerial Vehicles with communication delays
    Abdessameud, Abdelkader
    Tayebi, Abdelhamid
    [J]. AUTOMATICA, 2011, 47 (11) : 2383 - 2394
  • [2] Antonelli G, 2005, IEEE ASME INT C ADV, P1257
  • [3] Stability Analysis for Prioritized Closed-Loop Inverse Kinematic Algorithms for Redundant Robotic Systems
    Antonelli, Gianluca
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2009, 25 (05) : 985 - 994
  • [4] Experiments of Formation Control With Multirobot Systems Using the Null-Space-Based Behavioral Control
    Antonelli, Gianluca
    Arrichiello, Filippo
    Chiaverini, Stefano
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2009, 17 (05) : 1173 - 1182
  • [5] Autonomous Formation Flight Control System Using In-Flight Sweet-Spot Estimation
    Brodecki, Marcin
    Subbarao, Kamesh
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2015, 38 (06) : 1083 - 1096
  • [6] Real-time Autonomous UAV Formation Flight with Collision and Obstacle Avoidance in Unknown Environment
    Cetin, Omer
    Yilmaz, Guray
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2016, 84 (1-4) : 415 - 433
  • [7] Self-propelled particles with soft-core interactions: Patterns, stability, and collapse
    D'Orsogna, MR
    Chuang, YL
    Bertozzi, AL
    Chayes, LS
    [J]. PHYSICAL REVIEW LETTERS, 2006, 96 (10) : 1 - 4
  • [8] Exarchos I., 2016, P AIAA GUID NAV CONT, P1
  • [9] Keeping Multiple Moving Targets in the Field of View of a Mobile Camera
    Gans, Nicholas R.
    Hu, Guoqiang
    Nagarajan, Kaushik
    Dixon, Warren E.
    [J]. IEEE TRANSACTIONS ON ROBOTICS, 2011, 27 (04) : 822 - 828
  • [10] Hybrid Consensus-Based Formation Control of Fixed-Wing MUAVs
    Guzey, H. M.
    [J]. CYBERNETICS AND SYSTEMS, 2017, 48 (02) : 71 - 83