Using unknown input observers for robust adaptive fault detection in vector second-order systems

被引：30

作者：

Demetriou, MA ^{[1
]}

机构：

[1] Worcester Polytech Inst, Dept Mech Engn, Worcester, MA 01609 USA

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2005年 / 19卷 / 02期

关键词：

fault detection; unknown input observers; vector second-order systems; adaptive detection observers; Lyapunov methods; mechanical systems;

D O I：

10.1016/j.ymssp.2004.02.002

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The purpose of this manuscript is to construct natural observers for vector second-order systems by utilising unknown input observer (UIO) methods. This observer is subsequently used for a robust fault detection scheme and also as an adaptive detection scheme for a certain class of actuator faults wherein the time instance and characteristics of an incipient actuator fault are detected. Stability of the adaptive scheme is provided by a parameter-dependent Lyapunov function for second-order systems. Numerical example on a mechanical system describing an automobile suspension system is used to illustrate the theoretical results. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：291 / 309

页数：19

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