Fault diagnosis and statistical information tracking fault tolerant control for non-Gaussian non-linear stochastic systems

被引:0
|
作者
Guan, Yacun [1 ]
Li, Lifan [1 ]
Yao, Lina [1 ]
机构
[1] Zhengzhou Univ, Sch Elect Engn, Zhengzhou 450001, Henan, Peoples R China
来源
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年
关键词
non-Gaussian non-linear stochastic systems; statistical information function; adaptive fault diagnosis observer; sliding mode tracking control; TIME-DELAY; APPROXIMATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel fault diagnosis and fault tolerant control algorithm for non-Gaussian non-linear stochastic systems is presented in this paper. Different from conventional fault diagnosis algorithms, the statistical information function rather than the output value is used as the driven information to design the adaptive fault diagnosis observer. Finally, based on the fault diagnosis information, a new fault-tolerant controller based on sliding mode tracking control scheme is designed to make the post-fault statistical information function still track the target one. A simulated example is included to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:6986 / 6991
页数:6
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