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RG-SAPF:一个基于刚性图和安全人工潜力场的多AUV形成系统的水下移动目标的合作护送计划
Wen Pang1, Daqi Zhu1, Mingzhi Chen1
1School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究提出了自主水下车辆 (AUV) 护送移动目标的新框架. RG-SAPF计划确保了协调的形成控制和在复杂的水下环境中安全导航.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 海洋工程 海洋工程
- 控制系统 控制系统
背景情况:
- 在复杂的海洋环境中,对水下目标,如有人驾驶车辆 (HOV) 的合作护航任务具有挑战性.
- 现有的方法难以实现动态重新配置和无碰撞路径规划.
研究的目的:
- 为多AUV合作护送任务制定一个全面的框架.
- 确保强大的形成控制和在动态水下目标周围的安全导航.
主要方法:
- 提出了基于度图 (RG) 的安全人工潜力场 (SAPF) 计划.
- 集成的RG用于使用相对定位的可重新配置的3D形成控制.
- 采用适应性Widrow-Hoff规则增强SAPF实时,无碰撞路径规划.
主要成果:
- 在目标周围有效维护阵营完整性.
- 在杂乱的环境中展示了灵活的避障能力.
- 通过模拟和实验,在动态条件下验证了连续的目标护送.
结论:
- RG-SAPF计划为合作的水下护航任务提供了一个可行的解决方案.
- 该框架支持动态阵列重新配置和安全导航.
- 结果表明,在水下机器人的实际应用方面,潜水机器人具有很强的潜力.
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