Minimum-Variance Fault Isolation Observers for Discrete-Time Linear Systems

被引：0

作者：

Wahrburg, Arne ^{[1
]}

Haumann, Dominik ^{[1
]}

Willert, Volker ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Inst Automat Control & Mech, D-64283 Darmstadt, Germany

来源：

2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC) | 2013年

关键词：

ISOLATION FILTER DESIGN;

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：

In this paper, we provide two methods for the observer based fault isolation of discrete-time linear systems. Both rely on designing a single, specifically parametrized fault isolation observer (FIO). In contrast to classical bank of observers approaches, this leads to a low implementation effort. Arising degrees of freedom in systems with redundant measurements are characterized and exploited to optimize robustness of the generated residuals if the system is subject to noise. The first method is based on adding structural constraints to the classical Kalman filter, and the second approach provides a solution based on linear matrix inequalities (LMIs). A comparison is given and the results are applied to an example system.

引用

页码：5643 / 5649

页数：7

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