Fault diagnosis of hybrid systems

G. K. Fourlas, K. J. Kyriakopoulos, N. J. Krikelis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Fault diagnosis is a challenging task in the control of Hybrid Systems. In this work we present a methodology for detection and isolation of faults to hybrid control systems using a diagnoser. For this purpose a general framework is proposed. We discuss the notion of diagnosability of Hybrid Systems in the framework of Hybrid Input Output Automata (HIOA), imposing the conditions for a Hybrid System to be diagnosable. The diagnoser is designed using hybrid structure hypothesis tests. The states of the Hybrid System model reflect the normal and the failed status of the system components. This approach is applicable to a wide range of real systems since Hybrid Systems involve both continuous and discrete dynamics.

Original languageEnglish (US)
Title of host publicationProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Pages832-837
Number of pages6
DOIs
StatePublished - 2005
Event20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05 - Limassol, Cyprus
Duration: Jun 27 2005Jun 29 2005

Publication series

NameProceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05
Volume2005

Other

Other20th IEEE International Symposium on Intelligent Control, ISIC '05 and the13th Mediterranean Conference on Control and Automation, MED '05
Country/TerritoryCyprus
CityLimassol
Period6/27/056/29/05

ASJC Scopus subject areas

  • Engineering(all)

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