具有未知参数的四旋翼无人机分布式容错编队控制
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南京信息工程大学自动化学院

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TP273

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国家自然科学基金项目(61973169), 江苏省自然科学基金项目(BK20201392)资助, 江苏高校“青蓝工程”人才项目(R2021Q04)资助


Distributed fault-tolerant formation control of quadrotor UAVs with unknown parameters
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    摘要:

    针对四旋翼无人机编队中领航者系统动态完全未知、跟随者模型参数不确定且存在外部干扰, 同时通信链路可能发生故障的问题, 提出了一种基于分布式自适应观测器的容错编队控制算法. 首先, 建立考虑气动阻尼的无人机系统模型, 其次, 针对虚拟领航者的系统矩阵对跟随者未知的问题, 设计一种参数估计方法对其进行在线估计. 在此基础上, 基于“虚拟领导者- 跟随者”拓扑结构, 针对部分跟随者无人机无法直接获取虚拟领导者状态的约束, 引入相邻无人机的局部交互信息, 构建分布式虚拟领导者状态观测器, 从而在通信链路发生故障时仍能准确估计领导者状态? 然后, 结合反步法设计自适应容错编队控制器, 以补偿系统不确定性并保证编队跟踪性能. 最后, 开展了仿真验证, 结果表明, 所设计的分布式观测器与控制器具有良好的容错性能.

    Abstract:

    This paper investigates the formation control problem of quadrotor unmanned aerial vehicles (UAVs) subject to completely unknown leader dynamics, parametric uncertainties and external disturbances in followers, as well as potential communication link faults a fault-tolerant formation control algorithm based on a distributed adaptive observer is proposed. Firstly, a UAV system model considering aerodynamic damping is established. Secondly, to address the problem that the system matrix of the virtual leader is unknown to the followers, an online parameter estimation method is designed. Building upon this, under the ”virtual leader-follower” communication topology and considering the constraint that some follower UAVs cannot directly access the virtual leader’s states, local interaction information from neighboring UAVs is introduced to construct a distributed virtual leader state observer. This enables accurate estimation of the leader state even when communication link faults occur. Then, an adaptive fault-tolerant formation controller is designed using the backstepping method to compensate for system uncertainties and guarantee formation tracking performance. Finally, simulation studies are conducted, and the results demonstrate the effectiveness and fault tolerance of the designed distributed observer and controller.

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  • 收稿日期:2026-01-14
  • 最后修改日期:2026-05-26
  • 录用日期:2026-05-29
  • 在线发布日期: 2026-06-24
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