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Distributed Fault Detection for Interconnected Second-Order Systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2011 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 47, no 12, 2757-2764 p.Article in journal (Refereed) Published
Abstract [en]

In this paper the existence of unknown input observers for networks of interconnected second-order linear time invariant systems is studied. Two classes of distributed control systems of large practical relevance are considered. It is proved that for these systems one can construct a bank of unknown input observers, and use them to detect and isolate faults in the network. The result presents a distributed implementation. In particular, by exploiting the system structure, this work provides further insight into the design of UIO for networked systems. Moreover, the importance of certain network measurements is shown. Infeasibility results with respect to available measurements and faults are also provided, as well as methods to remove faulty agents from the network. Applications to power networks and robotic formations are presented. It is shown how the developed methodology apply to a power network described by the swing equation with a faulty bus. For a multi-robot system, it is illustrated how a faulty robot can be detected and removed.

Place, publisher, year, edition, pages
Elsevier , 2011. Vol. 47, no 12, 2757-2764 p.
Keyword [en]
Fault Detection and Isolation, Distributed Algorithm, Distributed Detection
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-46788DOI: 10.1016/j.automatica.2011.09.011ISI: 000298071000026Scopus ID: 2-s2.0-81155148180OAI: oai:DiVA.org:kth-46788DiVA: diva2:454222
Funder
TrenOp, Transport Research Environment with Novel PerspectivesICT - The Next GenerationSwedish Research CouncilKnut and Alice Wallenberg FoundationICT - The Next Generation
Note

NOTICE: this is the author’s version of a work that was accepted for publication in Automatica. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version will be published in AUTOMATICA DOI:10.1016/j.automatica.2011.09.011 QC 20111108

Available from: 2011-11-08 Created: 2011-11-06 Last updated: 2017-12-08Bibliographically approved

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Sandberg, HenrikKarl Henrik, Johansson

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