基于UIO和控制分配的AUV过度激活系统的主动故障诊断
Yunkai Wu1, Zefan Zhu1, Peng Shi2
1College of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, PR China.
ISA transactions
|July 16, 2025
概括
本研究提出了自主水下车辆 (AUV) 推进系统的新故障诊断框架. 该方法通过在没有额外信号的情况下检测和估计故障来提高系统的安全性和可靠性.
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
- 故障诊断和故障耐受性控制
背景情况:
- 自主水下车辆 (AUV) 在导航方面非常依赖其推进系统.
- 确保AUV推进的安全性和可靠性对于任务的成功至关重要.
- 过度执行的系统提供了增强的控制,但需要强大的故障管理策略.
研究的目的:
- 开发一个积极的故障诊断框架,用于六度自由度 (6-DOF) 的过度执行的AUV推进系统.
- 将未知输入观察器 (UIO) 与故障检测,估计和隔离的控制分配集成在一起.
- 通过内部输入调整来证明系统能够保持正常运行.
主要方法:
- 研究一个过度执行的AUV推进系统与6-DOF.
- 实施一个主动故障诊断框架,结合未知输入观察员 (UIO) 和控制分配.
- 拟议的综合方法的基于模拟的验证.
主要成果:
- 在AUV过度执行系统中成功检测故障,大小估计和隔离.
- 通过调整内部输入分配来确保系统正常运行的能力.
- 在不需要辅助信号的情况下验证框架的有效性.
结论:
- 综合故障诊断框架提高了AUV推进系统的安全性和可靠性.
- 控制分配的内部调整足以在过度执行的AUV中进行故障管理.
- 拟议的方法为AUV实时故障诊断提供了一个实际的解决方案.
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