基于在扰乱条件下单一规划的UGV到UAV的动态对接算法
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Updated: Jun 1, 2025

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Published on: May 20, 2018
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Jinge Si1, Yongkang Xu1, Tianwei Niu1
1State Key Laboratory of Intelligent Control and Decision of Complex System, Beijing Institute of Technology, School of Automation, Beijing, China.
ISA transactions
|January 21, 2025
概括
本研究提出了一种无人地面车辆 (UGV) 动态对接和跟踪移动无人机的新方法. 该方法使用扩展卡尔曼波器 (EKF) 来估计目标,并使用独特的路径规划算法来成功拦截.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统 控制系统
- 自主导航自主导航自主导航自主导航自主导航自主导航
背景情况:
- 由于无人机的移动性和不可预测的运动,跟踪和恢复无人机带来了挑战.
- 现有的方法经常与动态目标和实时轨迹干扰作斗争.
- 无人地面车辆 (UGV) 需要先进的控制策略来有效地拦截无人机.
研究的目的:
- 开发UGV的初始动态对接策略,以拦截移动和轨迹受干扰的无人机.
- 通过解决目标运动偏差,使UGV能够跟踪和恢复无人机.
- 创建一个统一的控制算法,用于同时对接和跟踪.
主要方法:
- 使用扩展卡尔曼波器 (EKF) 估计目标状态.
- 将无人机扰动映射到动态对接点,以量化运动偏差.
- 设计一个初始路径规划算法,使用带有极偏移点的贝齐尔曲线.
- 将路径规划与实时目标状态集成为单个规划对接控制算法.
主要成果:
- 拟议的算法使UGV能够在位置和角度上与轨迹受干扰的无人机动态对接.
- 该系统在简化后成功实现了对接后的目标跟踪.
- 模拟和实验验证开发的对接和跟踪策略的有效性.
结论:
- 开发的动态对接和跟踪算法为UGV无人机拦截提供了有效的解决方案.
- 该方法在处理移动和受干扰的无人机目标方面表现出了稳健性.
- 这项研究有助于自主机器人系统的进步,用于搜索,救援和恢复行动.
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