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A new residual generation and evaluation method for detection and isolation of faults in non‐linear systems
Author(s) -
Zhang Qinghua
Publication year - 2000
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/1099-1115(200011)14:7<759::aid-acs620>3.0.co;2-y
Subject(s) - fault detection and isolation , residual , observer (physics) , computer science , control theory (sociology) , isolation (microbiology) , state observer , control engineering , algorithm , engineering , artificial intelligence , nonlinear system , control (management) , actuator , biology , physics , quantum mechanics , microbiology and biotechnology
In this paper, we propose a new method for fault detection and isolation based on observer and adaptive observers. Each adaptive observer estimates the state variables and one of the parameters of the monitored system. The algorithms for both residual generation and evaluation are presented in detail. The proposed method is applicable to all non‐linear dynamic systems for which the required observer and adaptive observers can be designed. The presentation is illustrated throughout the paper by a simulation example, a controlled satellite. Copyright © 2000 John Wiley & Sons, Ltd.