Fault diagnosis in a class of differential-algebraic systems

被引:0
|
作者
Chen, W [1 ]
Saif, M [1 ]
Shafai, B [1 ]
机构
[1] Simon Fraser Univ, Sch Engn Sci, Burnaby, BC V5A 1S6, Canada
关键词
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
An Iterative Learning Observer (ILO) is proposed for fault diagnosis in a class of differential-algebraic nonlinear systems described by so-called semi-explicit form with index 1. The main feature of this ILO-based fault diagnosis strategy is that the ILO can estimate both system states and algebraic variable. This is important since both fault detection and estimation can be achieved. As a result the ILO can still track the post-fault system. Moreover, the ILO input can be used to isolate faults. The simulation study presented shows the effectiveness of this ILO-based fault detection and estimation strategy for differential-algebraic systems.
引用
收藏
页码:4398 / 4402
页数:5
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