文章基本信息

标题：Multi-sensor Fault Detection and Isolation for EMB SystemBased on Unknown Input Observer
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作者：Daehyun Kum ; Soohyeon Kwon ; Seonghun Lee 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：12
页码：12419
DOI：10.15680/IJIRSET.2015.0412143
出版社：S&S Publications
摘要：Electro-mechanical brake (EMB) systems generate the braking force with electric motors and useseveral sensors for feedback control. This paper presents a model-based sensor fault diagnostic approach that employsan Unknown Input Observer (UIO) technique to classify sensors as being healthy or unhealthy and even simultaneouslyoccurred faults in two different sensors. The proposed scheme is organized by UIO logic and a decision-making unit.UIO logic estimates sensor values using the inputs and outputs of EMB system and a decision-making unit identifiesthe faulty sensor based on a deterministic rule and the estimated ones from UIO logic. Unlike other model-based faultdetection and isolation schemes, the proposed one needs only one UIO instead of a bank of observers and UIOI issufficient for detecting and isolating faults simultaneously occurred. Simulation results are presented to verify theeffectiveness of this proposed diagnostic approach.
关键词：electro-mechanical brake (EMB) system; unknown input observer; fault detection and diagnosis; sensor;fault; simultaneous faults