DocumentCode :
3412461
Title :
Comparison of different fault detection algorithms for active body control components: automotive suspension system
Author :
Börner, Marcus ; Zele, Mina ; Isermann, Rolf
Author_Institution :
Inst. of Autom. Control, Darmstadt Univ. of Technol., Germany
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
476
Abstract :
Fault detection is increasingly an essential part of vehicle development. Integrating such fault detection subsystems raises the reliability, maintainability, and safety of automobile components. Until now, the suspension system was not a safety-critical component, but with the introduction of global chassis control systems this system is getting more important. Therefore, the paper presents fault detection algorithms for the suspension system. Real measurements of a vehicle are made to compare the advantages of the different fault detection algorithms
Keywords :
automobiles; mechanical variables control; parameter estimation; principal component analysis; reliability; safety; active body control components; analytical model based approach; automotive suspension system; directional forgetting method; fault detection algorithms; global chassis control systems; maintainability; prediction-error tuning algorithm; principal component analysis; recursive least square algorithm; reliability; safety-critical component; Automatic control; Automation; Automobiles; Automotive engineering; Control systems; Fault detection; Parameter estimation; Power steering; Principal component analysis; Vehicle dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2001. Proceedings of the 2001
Conference_Location :
Arlington, VA
ISSN :
0743-1619
Print_ISBN :
0-7803-6495-3
Type :
conf
DOI :
10.1109/ACC.2001.945590
Filename :
945590
Link To Document :
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