基于向心力启发的多层次无人机编队避障
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Centripetal-force Inspired Obstacle Avoidance for Multi-level UAV Formation
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    摘要:

    针对传统人工势场方法(traditional artificial potential field,tAPF)极易出现局部极小值而导致编队目标不可达和避障轨迹出现大幅震荡的问题,提出基于向心力启发的多层次无人机编队避障方法。将障碍物的影响范围分为普通避障区和强制避障区,无人机实时分析所处区域,并按对应区域调整避障算法,实现编队整体灵活避障。仿真试验结果表明,该避障策略具有安全性和可行性,为多无人机编队避障提供了一种思路。

    Abstract:

    Aiming at the problem that the traditional artificial potential field (tAPF) method is prone to local minima, which leads to the unreachable formation target and the large oscillation of obstacle avoidance trajectory, a multi-level UAV formation obstacle avoidance method based on centripetal force heuristic is proposed. The influence range of obstacles is divided into ordinary obstacle avoidance area and compulsory obstacle avoidance area, and the UAV analyzes the area in real time, and adjusts the obstacle avoidance algorithm according to the corresponding area to realize the overall flexible obstacle avoidance of the formation. The simulation results show that the obstacle avoidance strategy is safe and feasible, which provides an idea for multi-UAV formation obstacle avoidance.

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引用本文

蔡营盈.基于向心力启发的多层次无人机编队避障[J].,2025,44(03).

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  • 收稿日期:2024-07-09
  • 最后修改日期:2024-08-14
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  • 在线发布日期: 2025-04-14
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