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