在连接-混合网络攻击下,无人驾驶水面船舶的集成故障估计和故障耐受性跟踪控制
IEEE transactions on cybernetics
|September 8, 2025
概括
这项研究针对面临网络攻击和物理故障的多艘无人水面船 (USV) 进行了强大的跟踪控制. 开发的综合故障估计和故障耐受性跟踪控制方案可确保可靠的多USV导航.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 网络物理系统 网络物理系统
- 海洋工程 海洋工程
背景情况:
- 多艘无人水面船 (USV) 面临复杂的挑战,包括网络攻击和物理故障.
- 在联网的USV系统中确保强大的跟踪控制对于操作可靠性至关重要.
- 现有的控制策略往往难以同时解决混合威胁和各种故障类型.
研究的目的:
- 为多个USV开发一个完整的故障估计 (FE) 和故障耐受性跟踪控制 (FTTC) 框架.
- 解决连接-混合网络攻击和统一模拟角度故障的综合影响.
- 确保在不利条件下的估计误差和高跟踪性能的稳健的非对称收.
主要方法:
- 纳入执行器故障和网络攻击动态的USV的建模.
- 开发基于增强估计器的分散故障估计 (FE) 协议.
- 基于共识的分布式容错跟踪控制 (FTTC) 协议的设计.
- 将FE和FTTC整合到一个统一的控制结构中.
主要成果:
- 实现了对多USV系统的估计错误的强有力的非对称收.
- 在混合网络攻击和物理故障下,多个USV的追踪性能表现出色.
- 使用双约束限制 (攻击频率和激发率) 来导出指数追踪的标准.
结论:
- 综合FE和FTTC方案有效地提高了多USV系统对复杂威胁的弹性.
- 对比模拟验证了拟议的综合控制战略的优越性.
- 该研究提供了一个强大的解决方案,用于在具有挑战性的环境中可靠的USV自主导航.
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