基于改进人工势场法的多无人机路径规划与避障研究

Lai Dongcheng, Dai Jiyang
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引用次数: 6

摘要

传统的APF算法仅限于单架无人机的轨迹规划,通常不能保证避障和到达目标。本文提出了一种带距离因子的改进势场函数和一种动态步长调整方法,解决了目标不可及、易陷入局部极小值和抖动等常见问题。同时,该方法还考虑了无人机之间受力的影响,保证了无人机之间有一定的距离。最后,在三维仿真环境下,多架无人机能够避开障碍物并到达目标位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Multi-UAV Path Planning and Obstacle Avoidance Based on Improved Artificial Potential Field Method
The traditional APF algorithm is limited to the trajectory planning of a single UAV, and usually can't guarantee obstacle avoidance and reach the target. In this paper, an improved potential field function with distance factor and a dynamic step-size adjustment method are proposed to solve the common problems such as unreachable target, easy to fall into local minimum and jitter problem. At the same time, this method also considers the influence of the force between UAV to ensure a certain distance between UAV. Finally, in the three-dimensional simulation environment, multi-UAV can avoid obstacles and reach the target position.
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