DocumentCode :
1695833
Title :
Robust sensor fault diagnosis based on right eigenvector assignment
Author :
Wu, Ju-fen ; Zhao, Jin ; Shen, Zhong-yu ; Di, Li-ming
Author_Institution :
Sch. of Electr. & Autom. Eng., Nanjing Normal Univ., Nanjing, China
fYear :
2010
Firstpage :
5722
Lastpage :
5726
Abstract :
The fault diagnosis residual generator based on full order observer is designed aimed at the linear uncertain system having unknown disturbances. The method combined Singular Value Decomposition with right eigenvector assignment is developed, and the observer right eigenvectors are assigned parallel to the disturbance distribution directions, so it makes the residual generator itself decouple from disturbances and the residual signal robust with disturbances. The residual is not influenced by the uncertain disturbances in the process of sensor fault diagnosis and the reliability and precision of fault diagnosis are improved. The simulation results verify the method validity.
Keywords :
eigenvalues and eigenfunctions; fault diagnosis; linear systems; observers; sensors; singular value decomposition; uncertain systems; disturbance distribution; fault diagnosis residual generator; full order observer; linear uncertain system; right eigenvector assignment; sensor fault diagnosis; singular value decomposition; Aircraft; Automation; Fault detection; Fault diagnosis; Generators; Observers; Robustness; fault diagnosis observer; right eigenvector assignment; robustness; sensor fault;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554762
Filename :
5554762
Link To Document :
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