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Dynamic event-triggered fault estimation and sliding mode fault-tolerant control for networked control systems with sensor faults
Applied Mathematics and Computation ( IF 3.5 ) Pub Date : 2021-01-01 , DOI: 10.1016/j.amc.2020.125558
Jiaqi Wang , Fang Fang , Xiaojian Yi , Yajuan Liu

Abstract This paper investigates the problem of fault estimation and sliding mode fault-tolerant control(FTC) for networked control systems with sensor faults under dynamic event-triggered scheme. First, the sensor faults are equivalent to virtual internal system faults in system by filtering, and dynamic event-triggered fault/state observer is designed to estimate the system state and fault at the same time. Therefore, a sliding mode surface under event-triggering is constructed considering system faults and network delay. By the Lyapunov-Krasovskii function, a novel design condition in the form of linear matrix inequality is obtained with H∞ performance to gain observer and controller parameters. In addition, a sliding mode FTC law is constructed to guarantee that the trajectories of system states can be arrived to the sliding surface in a finite time. Finally, two examples with simulation are given to verify the effectiveness of the theoretical method.

中文翻译:

具有传感器故障的网络控制系统的动态事件触发故障估计和滑模容错控制

摘要 本文研究了动态事件触发方案下传感器故障网络控制系统的故障估计和滑模容错控制(FTC)问题。首先,传感器故障通过滤波等价于系统内部的虚拟系统故障,设计了动态事件触发故障/状态观测器来同时估计系统状态和故障。因此,考虑系统故障和网络延迟,构建了事件触发下的滑模面。通过 Lyapunov-Krasovskii 函数,以线性矩阵不等式形式获得了具有 H∞ 性能的新设计条件,以获得观测器和控制器参数。此外,构造一个滑模FTC律来保证系统状态的轨迹可以在有限的时间内到达滑动面。最后,通过两个仿真算例验证了理论方法的有效性。
更新日期:2021-01-01
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