Cooperative Target Tracking using a Fleet of UAVs with Collision and Obstacle Avoidance

Lili Ma
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引用次数: 5

Abstract

In this paper, our earlier results on cooperative target tracking using a fleet of unmanned aerial vehicles (UAVs) is enhanced with both collision and obstacle avoidance capability. The existing control input that has two decoupled control efforts with one handling the tracking and the other dedicated for formation is now further augmented with a repulsion term that resolves collision with other team members and obstacles nearby. Assuming that each UAV takes the same and constant velocity. This newly-added control component adjusts the UAV’s heading angle to the opposite direction in relation to the UAV’s closet neighbors and obstacles where collision may occur. This repulsion term can also be expressed as a function of relative bearing angles alone, making it possible to be estimated/measured by onboard vision sensors in the presence of communication loss. Regarding communication topologies, an all-to-all communication, a ring topology, and a cyclic pursuit topology are studied. The effectiveness of the proposed collision/obstacle avoidance scheme is demonstrated by numerical simulation examples.
具有碰撞和避障功能的无人机编队协同目标跟踪
在本文中,我们之前的研究结果增强了无人机编队的协同目标跟踪的碰撞和避障能力。现有的控制输入有两个解耦的控制努力,一个处理跟踪,另一个用于编队,现在进一步增强了排斥力项,以解决与其他团队成员和附近障碍物的碰撞。假设每架无人机都以相同的恒定速度飞行。这个新增加的控制组件将无人机的航向角度调整到与无人机最接近的邻居和可能发生碰撞的障碍物相反的方向。该斥力项也可以单独表示为相对方位角的函数,从而可以在存在通信损失的情况下由机载视觉传感器估计/测量。在通信拓扑方面,研究了全对全通信拓扑、环形拓扑和循环追踪拓扑。通过数值仿真实例验证了所提出的避碰避障方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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