A geometric approach to nonlinear fault detection and isolation

被引：541
|
作者：
De Persis, C [1 ]
Isidori, A
机构：
[1] Washington Univ, Dept Syst Sci & Math, St Louis, MO 63130 USA
[2] Univ Roma La Sapienza, Dipartimento Informat & Sistemist, I-00184 Rome, Italy
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2001年 / 46卷 / 06期
关键词：
fault detection and isolation; nonlinear observability; nonlinear systems; observers; unobservability distributions;
D O I：
10.1109/9.928586
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present in this paper a differential-geometric approach to the problem of fault detection and isolation for nonlinear systems. A necessary condition for the problem to be solvable is derived in terms of an unobservability distribution, which is computable by means of suitable algorithms. The existence and regularity of such a distribution implies the existence of changes of coordinates in the state and in the output space which induce an "observable" quotient subsystem unaffected by all fault signals but one, For this subsystem, a fault detection filter is designed.
引用
收藏
页码：853 / 865
页数：13
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