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Observer‐based fault diagnosis and self‐restore control for systems with measurement delays
Author(s) -
Li Juan,
Tang GongYou,
Zhang Peng,
Zou Jian
Publication year - 2012
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.458
Subject(s) - observer (physics) , control theory (sociology) , fault (geology) , fault tolerance , computer science , state (computer science) , control (management) , transformation (genetics) , control engineering , control system , scheme (mathematics) , engineering , mathematics , algorithm , artificial intelligence , distributed computing , mathematical analysis , biochemistry , chemistry , physics , electrical engineering , quantum mechanics , seismology , gene , geology
The problems of fault diagnosis and fault‐tolerant control are considered for systems with measurement delays. In contrast to the present fault diagnosis and fault‐tolerant control approaches, which consider only the input delay and/or state delay, the main contribution of this paper consists of proposing a new observer‐based reduced‐order fault diagnoser construction approach and a design approach to dynamic self‐restore fault‐tolerant control law for systems with measurement delays. First, the time‐delay system is transformed into a delay‐free system in form by a special functional‐based delay‐free transformation approach for measurement delays. Then, the fault diagnosis is realized online via the proposed reduced‐order fault diagnoser. Using the results of fault diagnosis, two dynamic self‐restore control laws are designed to make the system isolated from faults. A numerical example demonstrates the feasibility and validity of the proposed scheme.© 2012 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society