Sensor Fault Detection Based on State Estimation Observer in Discrete Nonlinear Systems

This paper investigates discrete-time T-S fuzzy systems, uses fuzzy rules to model the system, then builds a system state estimation observer to detect sensor faults, and finally uses the method to optimize the residual generator. We built a measurement equation where sensor faults can be converted...

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Bibliographic Details
Main Authors: Jia, Xiangyi, Cheng, Qianshuai, Hou, Yandong
Format: Conference Proceeding
Language:English
Subjects:
disturbance
Fault detection
Fault diagnosis
Fuzzy systems
Generators
LMI
Mathematical model
Observers
residual generation
state estimation observer
T-S fuzzy system
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Summary:This paper investigates discrete-time T-S fuzzy systems, uses fuzzy rules to model the system, then builds a system state estimation observer to detect sensor faults, and finally uses the method to optimize the residual generator. We built a measurement equation where sensor faults can be converted to status inputs. The corresponding observer parameters are obtained by using a linear matrix inequality method, and then an optimization technique is used to reduce the influence of the interference input on the residual, and designed a residual generator to make the residual signal correspond to the sensor failure one by one, which can be used for sensor fault detection and isolation in a TS fuzzy system with disturbance.
ISSN:2475-7896
DOI:10.1109/ICCAIS.2018.8570340