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Adaptive sliding mode–based diagnosis of actuator faults for LPV systems
Author(s) -
Rahme Sandy,
Meskin Nader,
Mohammadpour Javad
Publication year - 2017
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/acs.2761
Subject(s) - control theory (sociology) , actuator , robustness (evolution) , a priori and a posteriori , observer (physics) , computer science , linear system , mode (computer interface) , control engineering , engineering , mathematics , artificial intelligence , control (management) , physics , quantum mechanics , operating system , mathematical analysis , biochemistry , chemistry , philosophy , epistemology , gene
Summary In this paper, an adaptive sliding mode observer is developed for actuator fault diagnosis of linear parameter–varying systems. The main advantage of the proposed approach is its ability to cope with time‐varying distribution matrix in linear parameter–varying systems. Furthermore, the proposed adaptive observer is characterized by its output robustness against parameter uncertainties and disturbances without any a priori knowledge about their bounds. The efficiency of the proposed fault diagnosis approach is validated using simulation studies.