无人驾驶地表车辆的数据驱动路径跟踪控制
Je Wook Ryu1, Seunghwan Han2, Dowan Kim3
1Department of Ocean Systems Engineering, Sejong University, Seoul, 05006, South Korea.
Scientific reports
|December 9, 2025
概括
本研究介绍了使用线性矩阵不等式 (LMI) 进行无人驾驶表面车辆 (USV) 的数据驱动控制方法. 这种方法确保了稳健的路径,尽管部分未知车辆动态.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 海洋工程 海洋工程
- 系统和控制理论系统和控制理论
背景情况:
- 无人驾驶地面车辆 (USV) 需要先进的控制来实现自主导航.
- 部分未知的动态对稳健的路径追随提出了重大挑战.
- 数据驱动控制为传统基于模型的方法提供了一个有希望的替代方案.
研究的目的:
- 开发一个数据驱动的USV路径跟踪的控制配方.
- 为了应对部分未知的系统动态所带来的挑战.
- 通过使用线性矩阵不等式 (LMIs) 来保证强大的非对称稳定性.
主要方法:
- 将USV系统分解为已知的和部分未知的子系统.
- 在数据一致的矩阵圆形不确定性集中限制未知动态.
- 使用基于输入状态测量的LMI来推导足够的稳定性条件.
主要成果:
- 介绍了一种新的数据驱动路径,用于控制USV的数据驱动路径.
- 在矩阵圆形不确定性下保证了强大的非对称稳定性.
- 数据驱动的控制器表现出与基于模型的方法可比的性能.
结论:
- 拟议的基于LMI的数据驱动控制有效地处理部分未知的USV动态.
- 这种方法为自主USV路径跟踪提供了强大的解决方案.
- 该方法在各种参考路径中实现了高性能.
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