Yu Chuan, Su Qingyu, Sun Jing, Long Yue, Zhong Guang-Xin
School of Automation Engineering, Northeast Electric Power University, Jilin, 132012, China.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
ISA Trans. 2024 Oct;153:223-232. doi: 10.1016/j.isatra.2024.07.031. Epub 2024 Jul 27.
This paper investigates the estimation problem of a class of nonlinear systems with actuator and sensor faults. The primary objective is to design a distributed fault-tolerant observer which can estimate system states and actuator faults. Firstly, a distributed observer network with intermediate parameters is constructed to compensate the missing information of unobservable nodes of the system. Next, a class of redundant sensors is set up for each distributed observer node to obtain more output measurement samples. More importantly, when some of the redundant sensors occur faults, all sensor signals will be further processed and classified by a new algorithm. An index of sensor health level is constructed to characterize the quality of the fault-free or faulty sensor signals. By using the proposed algorithm, unhealthy sensor signals will be automatically filtered out, while healthy ones will be retained. Based on the healthy sensor signals, the system states and actuator faults are estimated. Finally, an example demonstrates that the proposed method is effective.
本文研究了一类具有执行器和传感器故障的非线性系统的估计问题。主要目标是设计一种分布式容错观测器，该观测器能够估计系统状态和执行器故障。首先，构建一个具有中间参数的分布式观测器网络，以补偿系统中不可观测节点的信息缺失。其次，为每个分布式观测器节点设置一类冗余传感器，以获得更多的输出测量样本。更重要的是，当一些冗余传感器出现故障时，所有传感器信号将通过一种新算法进行进一步处理和分类。构建一个传感器健康水平指标，以表征无故障或有故障传感器信号的质量。通过使用所提出的算法，不健康的传感器信号将被自动滤除，而健康的信号将被保留。基于健康的传感器信号，估计系统状态和执行器故障。最后，一个例子表明所提出的方法是有效的。
