Premium
Fault detection and isolation for uncertain closed‐loop systems based on adaptive and switching approaches
Author(s) -
Li XiaoJian,
Yang GuangHong
Publication year - 2015
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.3487
Subject(s) - fault detection and isolation , nonlinear system , control theory (sociology) , observer (physics) , isolation (microbiology) , matching (statistics) , computer science , fault (geology) , scheme (mathematics) , mathematical optimization , engineering , mathematics , control (management) , artificial intelligence , microbiology and biotechnology , biology , mathematical analysis , statistics , physics , quantum mechanics , seismology , geology
Summary This paper deals with the fault detection and isolation (FDI) problem for uncertain closed‐loop systems with external disturbances and nonlinear perturbations. To address the system uncertainties and the nonlinear perturbations in different faulty models, adaptive and switching techniques are introduced to construct a bank of FDI observers, such that one of them can match the current system, and the corresponding observer estimate errors can converge asymptotically to zero. An effective FDI scheme is then presented by introducing some model‐matching indexes. Moreover, the introduced switching laws liberate the equality constraints often used in the existing FDI approaches, which are hard to satisfy if the system matrices include uncertainties. Finally, a simulation example of F/A‐18A automatic carrier landing system is used to illustrate the effectiveness of the proposed method. Copyright © 2015 John Wiley & Sons, Ltd.