Nonlinear system fault diagnosis based on adaptive estimation
Nonlinear system fault diagnosis based on adaptive estimation
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DOI：
10.1016/j.automatica.2004.02.018
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发表时间：
2004-07
期刊：
影响因子：
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通讯作者：
Aiping Xu;Qinghua Zhang
中科院分区：
文献类型：
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作者：
Aiping Xu;Qinghua Zhang
提出了一类非线性系统的故障诊断方法。它是基于一种新的自适应估计算法递归估计的参数有关的故障。该算法是通过一个非平凡的高增益观测器和最近开发的线性自适应观测器的组合，而不诉诸任何线性化的建设性的方式设计的。它的全局指数收敛是由一个易于检查的持续激励条件。最后给出了一个数值例子。
An approach to fault diagnosis for a class of nonlinear systems is proposed in this paper. It is based on a new adaptive estimation algorithm for recursive estimation of the parameters related to faults. This algorithm is designed in a constructive manner through a nontrivial combination of a high gain observer and a recently developed linear adaptive observer, without resort to any linearization. Its global exponential convergence is ensured by an easy-to-check persistent excitation condition. A numerical example is presented for illustration.