基于观测器的无人机编队自适应容错控制
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1.南京信息工程大学自动化学院 南京 210044;2.江苏省大气环境与装备技术协同创新中心 南京 210044

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V249.1,V279,TP302.8

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国家自然科学基金(61973169)、江苏省自然科学基金(BK20201392)、江苏高校“青蓝工程”(R2021Q04)资助


Adaptive fault-tolerant control of UAV formation based on observer method
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1.School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China; 2.Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, China

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    摘要:

    针对多无人机编队飞行中的僚机故障问题,设计了一种基于观测器的自适应容错控制方法。首先,基于领导跟随法建立了无人机编队模型及僚机故障的编队模型,并将其划分为位置子系统与偏航角子系统。其次,基于观测器技术对位置子系统中的状态和故障进行观测,并结合观测的状态和故障信息构造状态反馈控制律;然后,基于自适应方法给出偏航角子系统的控制设计方案,并用Lyapunov理论证明系统跟踪误差最终有界收敛。通过仿真,本文算法在发生故障后对系统的完全跟踪时间和稳态误差分别比基于鲁棒故障估计的方法最大降低了76%和70.3%,并且均比传统观测器的方法明显减少较大,证明了本文算法能更好的克服偏差故障带来的不利影响,有效实现四旋翼无人机群的编队飞行。

    Abstract:

    To solve the problem of fault of followers in multiple unmanned aerial vehicles (UAVs) formation flight, an adaptive fault-tolerant control method based on observer is designed. Firstly, based on the leader-follower method, the formation model of UAVs and the fault model of followers in the formation are established, which are divided into the position subsystem and the yaw angle subsystem. Secondly, an observer is designed to observe the fault and the state in the position subsystem, and combined with the observed state and fault, a state feedback control law is constructed. Then, the control design scheme of yaw angle subsystem is given based on the adaptive method. The final bounded convergence of the tracking error of the system is proved based on the Lyapunov theory. Through simulation, compared with the method based on the robust fault estimation, the algorithm in this paper reduces the total tracking time and steady-state error of the system by 76% and 70.3% respectively, and both of them are significantly reduced compared with the traditional observer method, which proves that the algorithm in this paper can better overcome the adverse effects caused by the deviation fault and effectively realize the formation flight of quadrotor unmanned aerial vehicles.

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王海风,郑柏超,卢世堃,赖 琛.基于观测器的无人机编队自适应容错控制[J].电子测量技术,2022,45(17):56-64

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  • 在线发布日期: 2024-04-02
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