Cooperative Path Following Control of Fixed-wing Unmanned Aerial Vehicles with Collision Avoidance

被引:23
|
作者
Zhao, Shulong [1 ]
Wang, Xiangke [1 ]
Chen, Hao [1 ]
Wang, Yajing [1 ]
机构
[1] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Changsha 410073, Peoples R China
关键词
Cooperative path following; Fixed-wing UAVs; Vector field histogram (VFH); Collision avoidance; MODEL-PREDICTIVE CONTROL; MULTIPLE UAVS; TRACKING; ROBOT;
D O I
10.1007/s10846-020-01210-3
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we propose a novel curved path following scheme for multiple fixed-wing unmanned aerial vehicles (UAVs) that can achieve coordinated curved path following and handle collision avoidance simultaneously. The proposed solution is a hybrid system that combines a path following strategy and a collision avoidance method to ensure collision-free maneuvering of a group of UAVs cooperative flight. A strategy based on a virtual structure and a kinematic model is proposed to derive the cooperative curved path following. Meanwhile, a possible collision will occur when multi-UAVs flight in the form of dense formations, or there are path intersections when the formation is changed. However, all fixed-wing vehicles need to maintain a minimum airspeed and cannot stop before the collision. Therefore, there is a need for a fast and efficient method that can be implemented online, taking into account the physical limitations of the vehicle (minimum speed, turning rate, etc.) to avoid possible collision. We employ a modified vector field histogram (VFH) method to provide real-time collision avoidance, and evasive maneuvers work only if the distance is within the conflict zone. In order to verify the proposed control scheme, dense formation flight tests of small fixed-wing UAVs were implemented.
引用
收藏
页码:1569 / 1581
页数:13
相关论文
共 50 条
  • [31] Path Planning for Fixed-Wing Unmanned Aerial Vehicles: An Integrated Approach with Theta* and Clothoids
    Bassolillo, Salvatore Rosario
    Raspaolo, Gennaro
    Blasi, Luciano
    D'Amato, Egidio
    Notaro, Immacolata
    [J]. DRONES, 2024, 8 (02)
  • [32] Path following control for miniature fixed-wing unmanned aerial vehicles under uncertainties and disturbances: a two-layered framework
    Weinan Wu
    Yao Wang
    Chunlin Gong
    Dan Ma
    [J]. Nonlinear Dynamics, 2022, 108 : 3761 - 3781
  • [33] Fixed-Time Antisaturation Cooperative Control for Networked Fixed-Wing Unmanned Aerial Vehicles Considering Actuator Failures
    Lv, Maolong
    Ahn, Choon Ki
    Zhang, Boyang
    Fu, Anqi
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (06) : 8812 - 8825
  • [34] Disturbance Rejection Flight Control for Small Fixed-Wing Unmanned Aerial Vehicles
    Liu, Cunjia
    Chen, Wen-Hua
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2016, 39 (12) : 2804 - 2813
  • [35] Path following control for miniature fixed-wing unmanned aerial vehicles under uncertainties and disturbances: a two-layered framework
    Wu, Weinan
    Wang, Yao
    Gong, Chunlin
    Ma, Dan
    [J]. NONLINEAR DYNAMICS, 2022, 108 (04) : 3761 - 3781
  • [36] Automatic tuning of attitude control system for fixed-wing unmanned aerial vehicles
    Poksawat, Pakorn
    Wang, Liuping
    Mohamed, Abdulghani
    [J]. IET CONTROL THEORY AND APPLICATIONS, 2016, 10 (17): : 2233 - 2242
  • [38] Cooperative Localization for Fixed Wing Unmanned Aerial Vehicles
    Chakraborty, Anusna
    Sharma, Rajnikant
    Taylor, Clark N.
    Brink, Kevin M.
    [J]. PROCEEDINGS OF THE 2016 IEEE/ION POSITION, LOCATION AND NAVIGATION SYMPOSIUM (PLANS), 2016, : 106 - 117
  • [39] Aerobatic Flight for Robotic Fixed-Wing Unmanned Aerial Vehicles
    Basescu, Max R.
    Moore, Joseph L.
    [J]. Johns Hopkins APL Technical Digest (Applied Physics Laboratory), 2021, 35 (04): : 453 - 456
  • [40] Formation Flight of Multiple Fixed-wing Unmanned Aerial Vehicles
    Zhang, Mingfeng
    Liu, Hugh H. T.
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 1614 - 1619