Observer-based fault detection and isolation for structured systems

被引:52
|
作者
Commault, C [1 ]
Dion, JM [1 ]
Senante, O [1 ]
Motyeian, R [1 ]
机构
[1] CNRS, INPG, Lab Automat Grenoble, F-38402 St Martin Dheres, France
关键词
fault detection and isolation; graph theory; model-based approach; structured residuals; structured systems;
D O I
10.1109/TAC.2002.805673
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fault detection and isolation (FDI) problems are here considered for linear systems with faults and disturbances. We design a set of observer-based residuals in such a way that the transfer from the disturbances to the residuals is zero, and the transfer from the faults to the residuals allows fault isolation. We are interested in obtaining a transfer function from faults to residuals with either a diagonal structure (Le, a dedicated structured residuals set) or a triangular one. We deal with this problem when the system under consideration is structured. That is, the entries of the system matrices are either fixed zeros or free parameters. To a structured system, one am associate in a natural way a directed graph. We can then provide necessary and sufficient conditions under which the FDI problems have a solution for almost any value of the free parameters. These conditions are simply expressed in terms of input-output paths in the associated graph.
引用
收藏
页码:2074 / 2079
页数:6
相关论文
共 50 条
  • [31] Induction motor fault detection and isolation through unknown input observer
    Gaeid, Khalaf Salloum
    Ping, Hew Wooi
    SCIENTIFIC RESEARCH AND ESSAYS, 2010, 5 (20): : 3152 - 3159
  • [32] Online fault detection and isolation of nonlinear systems based on neurofuzzy networks
    Mok, H. T.
    Chan, C. W.
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2008, 21 (02) : 171 - 181
  • [33] Fault Detection and Isolation for State Affine Systems
    Hammouri, H.
    Kinnaert, M.
    El Yaagoubi, E. H.
    EUROPEAN JOURNAL OF CONTROL, 1998, 4 (01) : 2 - 16
  • [34] Inversion based fault detection and isolation
    Szigeti, F
    Vera, CE
    Bokor, J
    Edelmayer, A
    PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2001, : 1005 - 1010
  • [35] Neural observer-based approach to fault diagnosis applied to a liquid level system
    Palma, LB
    Coito, FV
    Silva, RN
    INTELLIGENT CONTROL SYSTEMS AND SIGNAL PROCESSING 2003, 2003, : 419 - 424
  • [36] Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation
    Liu, Yi
    Zeng, Jiusun
    Xie, Lei
    Luo, Shihua
    Su, Hongye
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (05) : 2721 - 2731
  • [37] Structured Joint Sparse Principal Component Analysis for Fault Detection and Isolation
    Liu, Yi
    Zeng, Jiusun
    Xie, Lei
    Luo, Shihua
    Su, Hongye
    PROCEEDINGS OF 2018 IEEE 7TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE (DDCLS), 2018, : 777 - 782
  • [38] Distributed fault detection and isolation for leader–follower multi-agent systems with disturbances using observer techniques
    Yue Quan
    Wen Chen
    Zhihai Wu
    Li Peng
    Nonlinear Dynamics, 2018, 93 : 863 - 871
  • [39] A fault detection and isolation scheme for industrial systems based on multiple operating models
    Rodrigues, M.
    Theilliol, D.
    Adam-Medina, M.
    Sauter, D.
    CONTROL ENGINEERING PRACTICE, 2008, 16 (02) : 225 - 239
  • [40] Fault Detection and Isolation for Manipulator Robot Using Optimal Unknown Input Observer
    Moshgani, S. M. Hosseinpoor
    Fakharian, A.
    CONTROL ENGINEERING AND APPLIED INFORMATICS, 2019, 21 (03): : 71 - 79