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基于预设时间一致性理论的无人机编队控制

李俊辉1,王伟1,王雨辰2*,纪毅3   

  1. 1. 北京理工大学 宇航学院; 2. 北京理工大学 先进结构技术研究院;3.北京信息科技大学 自动化学院
  • 收稿日期:2024-09-19 修回日期:2025-03-31
  • 基金资助:
    国家自然科学基金项目(52272358、52402442);中国科协青年人才托举项目(YESS20230098);北京市青年人才托举项目(BYESS2023310)

Unmanned Aerial Vehicle Formation Control Based on Prescribed-time Consensus Theory

LI Junhui1,WANG Wei1,WANG Yuchen2*,JI Yi3   

  1. 1. School of Aerospace Engineering, Beijing Institute of Technology; 2. Institute of Advanced Structure Technology, Beijing Institute of Technology; 3.School of Automation, Beijing Information Science and Technology University
  • Received:2024-09-19 Revised:2025-03-31

摘要: 无人机编队可以实现复杂的集体任务,降低单个无人机的风险和操作难度。针对三维场景下的无人机集群编队控制问题,基于预设时间稳定理论和多智能体一致性理论,设计领-从结构下的分布式编队复合控制方法。通过分析无人机实际输入与等效控制之间的关系,建立多机运动学模型。为提高无人机对外部扰动的鲁棒性,结合自抗扰控制理论设计一种预设时间收敛扩张状态观测器,实现对扰动的在线估计。进一步,考虑到只有与领航者连通的跟随者能获取领航者的状态信息,提出一种预设时间收敛的分布式估计器,以快速估计领航者的状态。结合观测器及估计器的输出,提出一种预设时间收敛的一致性编队控制协议,并通过Lyapunov理论证明闭环系统的预设时间稳定性。最后通过构建数值仿真实验,验证了新方法的有效性。研究结果表明,新设计的控制方法在存在外部扰动的情况下可以实现预设时间内稳定的无人机编队协同控制。

关键词: 无人机, 编队控制, 预设时间稳定, 扩张状态观测器, 分布式估计器, 多智能体一致性理论

Abstract: Unmanned aerial vehicle(UAV) formation can achieve complex collective tasks and reduce the risk and operation difficulty of a single one. A distributed formation compound control method under the leader-follower structure based on the preset time stability theory and multi-agent consensus theory is designed for the problem of UAV swarm formation control in three-dimensional scene. Firstly, the multi-UAVs kinematic model is established by analyzing the relationship between the actual input and the equivalent control. To enhance the robustness of the UAVs against external disturbances, a prescribed-time convergent extended state observer is designed to realize the online estimation of the disturbance based on active disturbance rejection control theory. Furthermore, considering that only followers connected to the leader can access the leader's state information, a prescribed-time convergent distributed estimator is introduced to rapidly estimate the leader’s state. On this basis, a prescribed-time convergent consensus formation control algorithm is proposed combined with the output of the observer and the estimator, and the prescribed-time stability of the closed-loop system is proved by Lyapunov theory. Finally, simulation results validate the effectiveness of the proposed methods. The research results show that the designed control method can achieve stable UAV formation cooperative control within a preset time in the presence of external disturbances.

Key words: unmanned aerial vehicle;formation control, prescribed-time stability theory, extended state observer, distributed estimator, multi-agent consensus theory

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