对于执行器和传感器都出现故障的不确定系统,主动补偿故障耐受性控制
Xufeng Ling1, Haichuan Xu2, Fanglai Zhu2,3
1School of Artificial Intelligence, Shanghai Normal University Tianhua College, Shanghai 201815, China.
Sensors (Basel, Switzerland)
|January 10, 2026
概括
本研究引入了一种新的故障重建 (FR) 方法和故障耐受性控制 (FTC) 方案,用于传感器和执行器故障的系统. 这种方法确保了系统稳定性,尽管同时出现故障.
科学领域:
- 控制系统工程 控制系统工程
- 故障诊断和故障耐受性控制
背景情况:
- 系统经常同时遇到传感器和执行器故障,损害稳定性和性能.
- 现有的故障耐受性控制 (FTC) 方法可能会与组合故障场景作斗争.
研究的目的:
- 开发一种新的故障重建 (FR) 方法,用于同时发生传感器和执行器故障.
- 根据拟议的FR方法设计一个FTC方案,以确保稳健的系统运行.
主要方法:
- 使用了一个类似于Luenberger的减少顺序观察员和一个间隔观察员.
- 引入了一个输出转换来解传感器故障.
- 为外部干扰和执行器故障制定了一个多重未知输入 (MUI).
- 开发了一种代数MUI重建 (MUIR) 方法.
主要成果:
- 实现了状态和传感器故障估计的非对称收.
- 使用拟议的代数方法成功重建多个未知输入 (MUI).
- 通过FTC,在同时发生故障的情况下证明了闭环系统的非对称稳定性.
结论:
- 拟议的基于观察者的FTC计划有效地处理了同时发生的传感器和执行器故障.
- 该方法确保了系统的稳定性,并满足了分离原则.
- 模拟示例验证了开发的FR和FTC技术的有效性.
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