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dc.contributor.author
Svetozarevic, Bratislav
dc.contributor.author
Mohajerin Esfahani, Peyman
dc.contributor.author
Kamgarpour, Maryam
dc.contributor.author
Lygeros, John
dc.date.accessioned
2023-07-04T07:28:37Z
dc.date.available
2017-06-10T20:55:18Z
dc.date.available
2023-07-04T07:28:37Z
dc.date.issued
2013
dc.identifier.isbn
978-1-4799-0177-7
en_US
dc.identifier.isbn
978-1-4799-0178-4
en_US
dc.identifier.isbn
978-1-4799-0175-3
en_US
dc.identifier.other
10.1109/ACC.2013.6580526
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/71251
dc.description.abstract
We develop a robust fault detection and isolation (FDI) technique in the presence of measurement noise and apply it to the horizontal axis variable speed wind turbine. In the first part, we provide a nonlinear model of the wind turbine in the form of differential-algebraic equations. We consider wind as a disturbance to the system, having two components: the wind speed and the wind direction. In the second part, treating the nonlinear term due to wind in the system dynamics as an unknown disturbance, we propose an optimization-based approach to robustify a linear residual generator with respect to measurement noise. The contribution of the noise into the residual is introduced in the framework of linear matrix inequalities, in which the requirements of the FDI filter are modeled as linear constraints. We illustrate the performance of our proposed method on the wind turbine benchmark model implemented in the FAST simulation code.
en_US
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
A Robust Fault Detection and Isolation Filter for a Horizontal Axis Variable Speed Wind Turbine
en_US
dc.type
Conference Paper
dc.date.published
2013-08-15
ethz.book.title
2013 American Control Conference
en_US
ethz.pages.start
4453
en_US
ethz.pages.end
4458
en_US
ethz.event
2013 American Control Conference (ACC 2013)
en_US
ethz.event.location
Washington, DC, USA
en_US
ethz.event.date
June 17-19, 2013
en_US
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::03751 - Lygeros, John / Lygeros, John
ethz.date.deposited
2017-06-10T20:58:27Z
ethz.source
ECIT
ethz.identifier.importid
imp593650f340e1242850
ethz.ecitpid
pub:112923
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-18T11:56:38Z
ethz.rosetta.lastUpdated
2024-02-03T00:59:10Z
ethz.rosetta.versionExported
true
ethz.COinS
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