Research on Radar Wave Avoidance for UAV Swarm Based on Improved Artificial Potential Field

Yuefan Xie, Ying Wang, Jiahang Wei, Jiarui Wang
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引用次数: 1

Abstract

This paper proposes an improved artificial potential field method on route planing for UAV swarm to evade radar detection during flight and finally reach the target point. We solve the problem of excessive gravitational force is solved by modifying the gravitational function to a segmental function compared to the shortcomings of the traditional artificial potential field method. And solve the problem of target unreachability by concentrating on the relative distance between the UAV swarm and the target. Finally, we solve the problem of local minima by adjusting the step size and direction. The feasibility of our improved artificial potential field method in obstacle avoidance is verified by Matlab simulation in experiment.
基于改进人工势场的无人机群雷达避波研究
提出了一种改进的人工势场法,用于无人机群在飞行过程中躲避雷达探测并最终到达目标点的航路规划。针对传统人工势场法存在的不足,通过将引力函数修改为段函数,解决了重力过大的问题。并通过关注无人机群与目标的相对距离来解决目标不可达问题。最后,通过调整步长和方向,解决了局部最小值问题。实验中通过Matlab仿真验证了改进的人工势场避障方法的可行性。
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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