数据驱动的多个海洋表面车辆的协调路径跟踪与输入和
Qiuxia Zhang1, Yongpeng Weng1, Ning Wang2
1School of Marine Electrical Engineering, Dalian Maritime University, Dalian, 116026, China.
ISA transactions
|August 14, 2025
概括
本研究引入了一种新的控制方法,使多重海洋表面车辆 (MSV) 在具有挑战性的水道中精确地遵循路径,确保尽管存在干扰和约束,但仍能协调移动.
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:
- 多个海洋表面车辆 (MSV) 的协调路径在狭窄的水道上是复杂的.
- 外部干扰,系统不确定性和输入约束构成重大挑战.
研究的目的:
- 开发一种创新的基于指导的协调激增头部直接数据驱动受约束控制 (CSH-DDCC) 方法.
- 确保多个MSV之间的准确路径跟踪和协调.
- 解决模型不可用的缺陷和输入限制.
主要方法:
- 一个基于视线 (LOS) 的路径参数更新规律和一个离散的减少顺序扩展状态观察器 (RESO) 进行动态估计.
- 一个协调的突变头部 (CSH) 指导法,用于异交追踪和车辆协调.
- 一个直接数据驱动的受约束控制 (DDCC) 法律,具有动态的反倒闭补偿.
主要成果:
- 该CSH指导法确保了非对称路径跟踪和车辆间协调.
- 该法有效地处理模型不确定性和输入约束.
- 利亚普诺夫合成保证了闭环系统的异面协调路径.
结论:
- 拟议的CSH-DDCC方法对MSV的协调路径有效.
- 模拟研究证实了开发的控制策略在现实场景中的有效性.
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