UAV obstacle avoidance based on improved artificial potential field method

Y. Fan, Yuan Li, X. Li
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Abstract

The traditional artificial potential field method, distance is the only factor to determine the potential field force. When the UAV enters the obstacle's range of action, it is repelled by its potential field, the obstacle will have a repulsive effect on the UAV and as the distance continues to approach, the UAV is subjected to more and more repulsive force, making the UAV avoidance time is too long and the avoidance path is wasted. This paper proposes an improved artificial potential field method for the UAV forward path and obstacles do not intersect and is still in the variety of action of the repulsive potential field, which solves the problem that when the UAV forward direction does not intersect with the obstacles, the UAV is in the range of action of the repulsive potential field and is not subject to repulsive force, avoiding the waste of obstacle avoidance path. It is demonstrated through simulation analysis that the proposed obstacle avoidance algorithm produces superior results.
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基于改进人工势场法的无人机避障方法
在传统的人工势场法中,距离是决定势场力的唯一因素。当无人机进入障碍物的作用范围时,受到其势场的排斥,障碍物会对无人机产生排斥力,随着距离的不断接近,无人机受到的排斥力越来越大,使得无人机回避时间过长,回避路径被浪费。本文针对无人机前进路径与障碍物不相交且仍处于排斥力势场的多种作用下,提出了一种改进的人工势场方法,解决了无人机前进方向不与障碍物相交时,无人机处于排斥力势场的作用范围内,不受排斥力影响的问题,避免了避障路径的浪费。仿真分析表明,所提出的避障算法具有较好的避障效果。
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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