Fault detection for discrete-time systems with randomly occurring nonlinearity and data missing: A quadrotor vehicle example

被引：25

作者：

Liu, Fuqiang ^{[1
,2
]}

Huang, Ji ^{[2
]}

Shi, Yang ^{[2
]}

Xu, Demin ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Marine Engn, Xian 710072, Shaanxi, Peoples R China

[2] Univ Victoria, Dept Mech Engn, Victoria, BC V8W 2Y2, Canada

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2013年 / 350卷 / 09期

基金：

加拿大创新基金会; 加拿大自然科学与工程研究理事会;

关键词：

DELAY-DEPENDENT APPROACH; NETWORKED SYSTEMS; DIAGNOSIS; FILTER; H-2;

D O I：

10.1016/j.jfranklin.2013.02.027

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper concerns the fault detection (FD) problem for a class of discrete-time systems subject to data missing and randomly occurring nonlinearity modeled by two independent Bernoulli distributed random variables. We propose to design a set of fault detection filters, or residual generation systems, corresponding to each of the fault components, to guarantee that each subsystem is mean square stable and satisfies a prescribed disturbance attenuation level. Sufficient conditions are established in the form of linear matrix inequalities (LMIs). System faults can be effectively detected by generating the residues and comparing them with the dynamic fault thresholds. A quadrotor vehicle example with faults on angles and angular rates illustrates and verifies the effectiveness of the proposed algorithm. (C) 2013 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

引用

页码：2474 / 2493

页数：20

共 43 条

[1]

[Anonymous], 1994, LINEAR MATRIX INEQUA

[2]

[Anonymous], 2004, INT J CONTROL

[3] Stationary filter for linear minimum mean square error estimator of discrete-time Markovian jump systems [J].

Costa, OLV ;

Guerra, S .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2002, 47 (08) :1351-1356

[4] FAULT-DETECTION VIA FACTORIZATION APPROACH [J].

DING, X ;

FRANK, PM ;

FRANK, PM .

SYSTEMS & CONTROL LETTERS, 1990, 14 (05) :431-436

[5] On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays [J].

Dong, Hongli ;

Wang, Zidong ;

Gao, Huijun .

SIGNAL PROCESSING, 2012, 92 (04) :1117-1125

[6] Robust H2 and H∞ filtering for uncertain linear systems [J].

Duan, Zhisheng ;

Zhang, Jingxin ;

Zhangc, Cishen ;

Mosca, Edoardo .

AUTOMATICA, 2006, 42 (11) :1919-1926

[7] Sliding mode observers for fault detection and isolation [J].

Edwards, C ;

Spurgeon, SK ;

Patton, RJ .

AUTOMATICA, 2000, 36 (04) :541-553

[8] Genetic adaptive state estimation with missing input/output data [J].

Fang, H. ;

Wu, J. ;

Shi, Y. .

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2010, 224 (I5) :611-617

[9] Survey of robust residual generation and evaluation methods in observer-based fault detection systems [J].

Frank, PM ;

Ding, X .

JOURNAL OF PROCESS CONTROL, 1997, 7 (06) :403-424

[10] Robust fault detection with missing measurements [J].

Gao, H. ;

Chen, T. ;

Wang, L. .

INTERNATIONAL JOURNAL OF CONTROL, 2008, 81 (05) :804-819

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