一个带端驱动的水下仿生车辆操纵系统的路径跟踪和避免碰撞
Yanbing He1, Xiang Dong1, Yu Wang2
1School of Electrical Engineering and Automation, Anhui University, Hefei 230601, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究提出了水下仿生车辆操纵系统的强有力的控制策略,使其能够同时遵循路径并使用非线性模型预测控制来动态避免障碍.
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:
- 水下车辆操纵系统 (UBVMS) 由于复杂的动态和环境不确定性,在导航方面面临挑战.
- 同时遵循路径和动态避免障碍对于安全高效的UBVMS操作至关重要.
- 现有的控制方法经常与模型不确定性和实时动态障碍预测作斗争.
研究的目的:
- 开发和验证UBVMS的控制方案,实现准确的路径跟踪和有效的动态避障.
- 提高控制系统对模型不确定性和外部干扰的稳定性.
- 改进动态障碍物位置的预测,以积极避免碰撞.
主要方法:
- 实施了一个非线性模型预测控制 (NMPC) 框架,用于整合路径跟踪和避开障碍.
- 改进的扩展状态观察器 (IESO) 用于估计和补偿模型不确定性和干扰.
- 结合卡尔曼波器和先验估计,预测动态障碍的短期位置,考虑到状态估计器的不确定性.
主要成果:
- 拟议的NMPC方案有效地跟踪了参考路径,同时避免了动态障碍.
- 使用IESO通过准确估计和减轻不确定性和干扰,显著提高了稳定性.
- 集成的卡尔曼波器和先验估计提供了可靠的短期障碍预测,提高了安全性.
结论:
- 开发的控制策略显示了UBVMS在复杂的水下环境中的高性能和稳定性.
- 该方法成功地解决了在不确定的条件下遵循路径和动态避免障碍的双重挑战.
- 模拟和实验结果证实了UBVMS导航所提出的方法的有效性和实际应用性.
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