模糊的适应性故障耐受性控制器用于无人驾驶表面车辆,具有规定的跟踪性能
Yunuo Bao1, Ji Gao2, Peng Peng2
1School of Public Affairs, Nanjing University of Science and Technology, Nanjing, China.
Frontiers in robotics and AI
|April 24, 2025
概括
本研究引入了无人地面车辆 (USV) 的新控制策略,以保持精确的轨迹,尽管系统不确定性和执行器故障. 开发的自适应性模糊故障耐受控制器确保了海洋机器人系统的可靠性能.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 海洋工程 海洋工程
背景情况:
- 无人驾驶地面车辆 (USV) 是监视,监控和运输的关键海洋机器人系统.
- 由于模型不确定性和潜在的执行器故障,控制USV具有挑战性.
- 确保精确的轨迹跟踪对于运营成功至关重要.
研究的目的:
- 开发一个强大的轨迹跟踪控制方案,用于USVs.
- 为应对模型不确定性和执行器故障带来的挑战.
- 为了保证预定义的跟踪性能和系统稳定性.
主要方法:
- 设计了一个基于逻辑障碍莱普诺夫函数的预定义跟踪控制方案.
- 建议采用适应性模糊故障耐受控制器来处理执行器故障.
- 使用模糊逻辑系统来估计未知的水力动力学参数.
主要成果:
- 拟议的控制方案有效地调节了USV在预定义区域内的位置误差.
- 适应性模糊故障耐受控制器可确保预定义的短暂和稳定状态跟踪性能.
- 利亚普诺夫稳定性分析证实了所有闭环信号的局限性.
结论:
- 开发的控制方案提供了一个强大的解决方案,用于在不确定性和故障的情况下跟踪USV轨迹.
- 模拟结果验证了拟议的耐故障控制战略的有效性和可靠性.
- 这项研究有助于自主海洋系统的进步.
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