紧而有序的无人驾驶飞行器群在混乱的环境中
Hui Xiong1,2, Yaozu Ding1,2, Jinzhen Liu1,2
1School of Control Science and Engineering, Tiangong University, Tianjin, People's Republic of China.
Bioinspiration & biomimetics
|August 4, 2023
概括
这项研究引入了一个新的分布式自我组织的雷诺兹群群模型,用于无人机 (UAV) 群. 该模型确保安全,紧,有序的集体运动,即使在杂乱的环境和障碍物.
科学领域:
- 机器人和人工智能 机器人和人工智能
- 群集情报 群集情报 群集情报
- 自主系统 自主系统
背景情况:
- 经典的群体模型在混乱的环境中对无人机 (UAV) 群体的紧和有序的集体运动进行斗争.
- 生物群体表现出复杂的行为,可以激发更强大的人工群体系统.
研究的目的:
- 为无人机提出一个分布式自我组织的雷诺兹 (SOR) 群模型.
- 增强集体运动能力,确保无碰撞,紧,有序的运动.
- 在复杂的环境中实现安全导航和避开障碍.
主要方法:
- 设计了一个分布式的SOR群模型,包含社会,避障碍和迁移等术语.
- 用于代理相互作用的简单潜在函数.
- 使用遗传算法进行参数优化.
- 引入了评估顺序,安全,代理人间距离误差和速度范围的指标.
主要成果:
- 拟议的SOR模型成功地引导无人机群通过密集的障碍环境.
- 群体保持安全,有序和紧的集体运动.
- 通过比较模拟,证明了对不同障碍密度的适应能力.
结论:
- 在混乱的环境中,SOR模型为无人机提供了比现有的生物灵感的群体模型显著的改进.
- 该模型为实现自主系统中协调和安全的集体行为提供了一个强大的框架.
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