Robust fault detection using Luenberger-type unknown input observers - A parametric approach

被引：0

作者：

Duan, Guang-Ren ^{[1
]}

Patton, Ron J. ^{[1
]}

机构：

[1] Sch. of Mech. and Mfg. Engineering, The Queen's University of Belfast, Stranmillis Road, Belfast BT9 5AH, United Kingdom

来源：

| 2001年 / Taylor and Francis Ltd.卷 / 32期

关键词：

Fault tolerant computer systems - Linear control systems - Mathematical models - Multivariable control systems - Observability - Robustness (control systems);

D O I：

10.1080/00207720117413

中图分类号：

学科分类号：

摘要：

A new parametric observer-based approach for robust fault detection in multivariable linear systems with unknown disturbances is proposed. The residual is generated through utilizing a Luenberger function observer. By using a parametric solution to a class of generalized Sylvester matrix equations, a parametrization is proposed for the residual generator on the basis of a Luenberger function observer. By further properly constraining the design parameters provided in the Luenberger observer design, the effect of the unknown disturbance is decoupled from the residual signal. The proposed approach provides all the degrees of freedom and is demonstrated to be simple and effective.

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