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Guidance law for multi-UAVs collaborative ground target tracking under obstacle environment

机译:障碍环境下多无人机协同地面目标跟踪的制导法

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Multi-UAVs collaborative target observation and tracking is one of the typical applications of UAVs. In this paper, we focus on the study of multi-UAVs collaborative ground target tracking under obstacle environment. A UAV field for avoidance is given, and a UAV guidance law based on the Lyapunov guidance vector field is proposed to control the UAVs converging to the limit cycle over the target as well as avoiding the obstacles. Taking into account that the observation efficiency has a great degree of correlation with the observation angle, we design a phase control to maintain the phase angle between UAVs. Due to the speed limit of UAVs, the amplitude of the phase angle will increase when the speed limit is reached, and the observation efficiency will decrease. We use the standoff distance compensation strategy to reduce the amplitude of the phase angle. The simulation results show that the method we proposed in this paper can make the UAVs keep track of the target while avoiding the obstacle.
机译:多无人机协同目标观察与跟踪是无人机的典型应用之一。在本文中,我们专注于在障碍环境下的多无人机协同地面目标跟踪的研究。给出了一种可避免的无人机场,并提出了基于李雅普诺夫制导向量场的无人机制导律,以控制无人机在目标上收敛到极限循环并避开障碍物。考虑到观察效率与观察角高度相关,我们设计了一种相位控制来维持无人机之间的相角。由于无人飞行器的速度限制,达到速度限制时相角的幅度会增加,观察效率会降低。我们使用隔离距离补偿策略来减小相位角的幅度。仿真结果表明,本文提出的方法可以使无人机在避开障碍物的同时跟踪目标。

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