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Robust observer-based fault detection and isolation in the standard control problem framework

Wahrburg, Arne ; Khodaverdian, Saman ; Adamy, Jürgen (2023)
Robust observer-based fault detection and isolation in the standard control problem framework.
In: IFAC Proceedings Volumes, 2012, 45 (13)
doi: 10.26083/tuprints-00023316
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Robust observer-based fault detection and isolation in the standard control problem framework
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 2012
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 45
Issue Number: 13
DOI: 10.26083/tuprints-00023316
Corresponding Links:
Origin: Secondary publication service
Abstract:

This paper deals with the design of robust fault detection and isolation observers where only a single observer is employed to isolate different faults. To this end, the problem of parameterizing such observers is shown to be equivalent to designing a structurally constrained controller in the standard control problem framework. Thereby, the problem is reformulated as a well known classical control problem, which enables the use of existing tools to optimize robustness with respect to arbitrary exogenous disturbances. To account for parametric uncertainties, an approximate model matching approach is used.
Uncontrolled Keywords: robust fault diagnosis, observer-based fault detection, isolation, standard control problem, structurally constrained control, model matching
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233165
Additional Information:

Zugl. Konferenzveröffentlichung: 7th IFAC Symposium on Robust Control Design, 20.-22.06.2012, Aalborg, Denmark
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 03 Mar 2023 10:09
Last Modified: 16 Aug 2023 10:01
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23316
PPN: 508104076
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