文章基本信息

标题：Centralized Fault Detection of Complex Uncertain Hybrid Systems ⁎
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作者：Constantinos Heracleous ; Christodoulos Keliris ; Christos G. Panayiotou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：7
页码：76-81
DOI：10.1016/j.ifacol.2018.06.282
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a centralized fault detection scheme for hybrid systems with nonlinear uncertain continuous dynamics and measurement noise. The scheme features a modular observer based on a modified hybrid automaton framework, that models each subsystem individually and the whole system as a composition of these models. The fault detection scheme employs a filtering approach, that attenuates the effect of measurement noise and allows tighter detection thresholds, and also an algorithm that handles autonomous mode transitions. As a result, the proposed approach can detect both discrete and parametric faults and guarantees no false alarms under all circumstances. Simulation results from a two-tank hybrid system example illustrate the effectiveness of the proposed scheme.
关键词：KeywordsHybrid systemsfault detectionopen hybrid automatafilteringmodeling uncertainty