航空学报 > 2023, Vol. 44 Issue (S2): 729768-729768   doi: 10.7527/S1000-6893.2023.29768

面向狭窄通道穿越的多机编队安全鲁棒控制

刘坤达, 刘雪明, 朱波, 张清瑞()   

  1. 中山大学 航空航天学院,深圳 518107
  • 收稿日期:2023-10-26 修回日期:2023-11-13 接受日期:2023-12-07 出版日期:2023-12-25 发布日期:2023-12-26
  • 通讯作者: 张清瑞 E-mail:zhangqr9@mail.sysu.edu.cn
  • 基金资助:
    国家自然科学基金(62103451);中央高校科研基金(22qntd0702);教育部产学研基金(2021ZYA02017)

Robust safe control for multi⁃UAV formation flight through narrow corridors

Kunda LIU, Xueming LIU, Bo ZHU, Qingrui ZHANG()   

  1. School of Aeronautics and Astronautics,Sun Yat?sen University,Shenzhen 518107,China
  • Received:2023-10-26 Revised:2023-11-13 Accepted:2023-12-07 Online:2023-12-25 Published:2023-12-26
  • Contact: Qingrui ZHANG E-mail:zhangqr9@mail.sysu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(62103451);Central University Research Fund Project(22qntd0702);Industry-university-research Fund Project of Ministry of Education(2021ZYA02017)

摘要:

在多机编队穿越狭窄通道的任务场景下,无人机会受到地面效应和机间风扰等外部干扰因素的影响,使得无人机存在失控、坠毁等安全隐患。针对此问题,本文同时考虑上层编队规划以及底层控制的安全与鲁棒需求,提出一种基于矢量场和不确定性干扰估计器(UDE)的安全鲁棒控制算法,确保无人机编队安全穿越狭窄通道。首先,定义基于虚拟结构的无人机编队构型,通过构建矢量场使得编队产生收缩的效果以适应狭窄通道尺寸,避免与通道产生碰撞。其次,考虑狭窄空间约束及机间距离缩小造成的地面效应与机间风扰等不确定干扰的影响,设计基于UDE的底层控制器,实现对不确定干扰的估计和补偿,提高无人机编队飞行的稳定性和鲁棒性。最后,在仿真平台上验证所提出的场景和算法,对无人机编队在不同宽度狭窄通道下的性能进行评估。

关键词: 无人机, 编队控制, 矢量场, 不确定性及干扰估计器, 地面效应, 鲁棒控制

Abstract:

When multi-UAV formation flies through narrow corridors, UAVs will be influenced by external disturbances such as ground effect and downwash to result in out of control and crash of the vehicles and other security risks. To solve this problem, a safe and robust algorithm based on the vector field and the Uncertainty and Disturbance Estimator (UDE) is proposed by considering upper-formation planning and low-level control simultaneously. At the formation planning level, a vector field-based formation control method is designed to ensure collision avoidance. Meanwhile, due to the space constraint and smaller distance between UAVs, UAVs are more severely affected by ground effect, downwash between UAVs and other wind disturbances during the passage. These external disturbances lead to safety risks such as loss of control and crashes. To address this issue, an Uncertainty and Disturbance Estimator-based (UDE-based) controller is designed to improve the stability and robustness of UAVs’ low-level control. Finally, the proposed algorithms are verified on the simulation platform, and the performance of the UAVs formation in different sizes of narrow corridors is evaluated.

Key words: Unmanned Aerial Vehicle (UAV), formation control, vector field, uncertainty and disturbance estimator, ground effect, robust control

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