A robust nonlinear observer-based approach for distributed fault detection of input-output interconnected systems
A robust nonlinear observer-based approach for distributed fault detection of input-output interconnected systems
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DOI：
10.1016/j.automatica.2015.01.042
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发表时间：
2015-03-01
期刊：
影响因子：
6.4
通讯作者：
Parisini, Thomas
中科院分区：
文献类型：
--
作者：
Keliris, Christodoulos;Polycarpou, Marios M.;Parisini, Thomas
针对一类互联输入输出非线性系统，提出了一种基于非线性扰动器的分布式故障检测方法，该方法对模型不确定性和测量噪声具有鲁棒性。首先，一个非线性观测器的设计是用来产生故障检测所需的残差信号。然后，根据观测器的特性，设计了分布式故障检测方案和相应的自适应阈值，同时采用滤波技术抑制量测噪声的影响，从而减小阈值的保守性，增强鲁棒性。最后，一个故障可检测性条件定量表征的类的可检测故障。(C)2015爱思唯尔有限公司版权所有。
This paper develops a nonlinear observer-based approach for distributed fault detection of a class of interconnected input output nonlinear systems, which is robust to modeling uncertainty and measurement noise. First, a nonlinear observer design is used to generate the residual signals required for fault detection. Then, a distributed fault detection scheme and the corresponding adaptive thresholds are designed based on the observer characteristics and, at the same time, filtering is used in order to attenuate the effect of measurement noise, which facilitates less conservative thresholds and enhanced robustness. Finally, a fault detectability condition characterizing quantitatively the class of detectable faults is derived. (C) 2015 Elsevier Ltd. All rights reserved.