基于速度势场法的无人机三维航路规划

Qihan Fan, Shiqiang Hu
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引用次数: 0

摘要

随着无人机应用领域的不断扩大,高速3D(三维)避障是必须考虑的重要问题之一。针对速度大于无人机的高速障碍物,设计了一种新的人工势场(APF)函数进行动态路径规划。提出速度势场法理论,改变合力方向,即在斥力场中加入垂直于障碍物速度和无人机自身速度的斥力。对改进的速度势场法进行了仿真,并与原势场法进行了比较。结果表明,速度势场法可以更快更好地避开不同速度的高速障碍物,只有速度势场法才能使无人机避开速度大于自身的障碍物。证明了速度势场法在高速障碍物避障中的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three Dimensional Route Planning of UAVs based on Velocity Potential Field Method
With the continuous expansion of the application field of UAV, high-speed 3D(three-dimensional) obstacle avoidance is one of the important problems that must be considered. In this paper, a new artificial potential field(APF) function is specially designed for dynamic path planning for high-speed obstacles whose speed is greater than the UAV. The theory of velocity potential field method is proposed to change the direction of resultant force, that is, add a repulsion force in the repulsion field that is perpendicular to the speed of obstacles and the speed of UAV itself. The improved velocity potential field method is simulated and compared with the original potential field method. The results show that the velocity potential field method can avoid high-speed obstacles with different speeds faster and better, and only the velocity potential field method can make the UAV avoid obstacles whose speed is greater than itself. It proves the advantage of the velocity potential field method in avoiding high-speed obstacles.
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