Paper Info
Title
An Adaptive Approach To Sensor Bias Fault Diagnosis And Accommodation For A Class Of Input-Output Nonlinear Systems
Abstract
This paper presents an adaptive sensor fault diagnosis and accommodation scheme for multiple sensor bias faults for a class of input-output nonlinear systems subject to modeling uncertainty and measurement noise. The proposed scheme consists of a nonlinear estimation model that includes an adaptive component which is initiated upon the detection of a fault, in order to approximate the magnitude of the bias faults. A detectability condition characterizing the class of detectable sensor bias faults is derived and the robustness and stability properties of the adaptive scheme are presented. The estimation of the magnitude of the sensor bias faults allows the identification of the faulty sensors and it is also used for fault accommodation purposes. The effectiveness of the proposed scheme is demonstrated through a simulation example.
Year
DOI
Venue
2018
10.1109/CDC.2018.8619307
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
Field
DocType
ISSN
Magnitude (mathematics),Nonlinear system,Control theory,Computer science,Input/output,Robustness (computer science),Accommodation
Conference
0743-1546
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Christodoulos Keliris1573.75
Marios Polycarpou22020206.96
T Parisini3935113.17