Paper Info
Title
Sensor fault detection based on fuzzy singularly perturbed model
Abstract
Fuzzy singularly perturbed modelling and sensor fault detection for nonlinear singularly perturbed systems (NSPSs) are investigated. A continuous-time fuzzy singularly perturbed model with superimposed faults on state variables and external disturbances are established to describe NSPSs with sensor faults. Based on the model, a novelty H-infinity fuzzy fault detector (FFD) is designed, and the sufficient conditions for H-infinity performance are derived. The above approaches are applied to a CE150 helicopter with abrupt and intermittent faults on sensors. The innovations of this paper are as follows: (i) The nonlinear and slow-fast time-scales are described by a united continuous-time fuzzy singularly perturbed model, and based-it a FFD is designed, which can avoid the incomplete decoupling problem caused by decomposition methods; (ii) The sensor faults are expressed by the superimposed faults on state variables when the continuous-time fuzzy singularly perturbed model is constructed, which is less conservative than existing methods; (iii) In the FFD design, the first-order derivative model of the estimate function for sensor faults is established, and it is combined with a fuzzy observer, which can improve the detection accuracy of the FFD; (iv) H-infinity control technology is introduced into the FFD design process to suppress external disturbances.
Year
DOI
Venue
2022
10.1080/00207721.2021.2020368
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
DocType
Volume
Fuzzy singularly perturbed model, sensor fault detector, nonlinear singularly perturbed systems, LMIs, H-infinity
Journal
53
Issue
ISSN
Citations 
8
0020-7721
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Chunxiao He100.34
Jinxiang Chen200.34
Xisheng Li3182.65