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dc.contributor.author
Wood, Tony A.
dc.contributor.author
Ahbe, Eva
dc.contributor.author
Hesse, Henrik
dc.contributor.author
Smith, Roy
dc.contributor.editor
Dochain, Denis
dc.contributor.editor
Henrion, Didier
dc.contributor.editor
Peaucelle, Dimitri
dc.date.accessioned
2022-03-17T06:50:16Z
dc.date.available
2018-01-22T11:10:28Z
dc.date.available
2018-01-29T13:54:06Z
dc.date.available
2018-08-31T13:10:33Z
dc.date.available
2021-07-28T05:32:20Z
dc.date.available
2022-03-08T09:25:39Z
dc.date.available
2022-03-09T05:34:45Z
dc.date.available
2022-03-11T10:53:47Z
dc.date.available
2022-03-11T15:32:06Z
dc.date.available
2022-03-17T06:50:16Z
dc.date.issued
2017-07
dc.identifier.issn
2405-8963
dc.identifier.other
10.1016/j.ifacol.2017.08.1965
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/232174
dc.identifier.doi
10.3929/ethz-b-000232174
dc.description.abstract
We consider the design of a model predictive guidance controller in a cascaded control scheme for an autonomous kite with significant input delay. The rate of change of the signal commanded by the guidance is bounded to ensure robust performance of the underlying tracking controller. We analyse the limitations of the tracking controller arising from model parameter uncertainty and input delay. The delay is accounted for in the control design by predicting the values of the feedback variables ahead of time based on the past inputs and the system models. To account for changing operating conditions the model parameters are updated online. The proposed method has been tested in a real-time hardware-in-the-loop simulation study.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Airborne wind energy
en_US
dc.subject
Renewable energy systems
en_US
dc.subject
Predictive control
en_US
dc.subject
Delay compensation
en_US
dc.subject
Robust control
en_US
dc.subject
Cascade control
en_US
dc.title
Predictive Guidance Control for Autonomous Kites with Input Delay
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2017-10-18
ethz.book.title
20th IFAC World Congress. Proceedings
en_US
ethz.journal.title
IFAC-PapersOnLine
ethz.journal.volume
50
en_US
ethz.journal.issue
1
en_US
ethz.pages.start
13276
en_US
ethz.pages.end
13281
en_US
ethz.size
6 p.
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.event
20th IFAC World Congress (IFAC 2017)
en_US
ethz.event.location
Toulouse, France
en_US
ethz.event.date
July 9–14, 2017
en_US
ethz.grant
Airborne Wind Energy System Modelling, Control and Optimisation
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Kidlington
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::08814 - Smith, Roy (Tit.-Prof.)
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::08814 - Smith, Roy (Tit.-Prof.)
en_US
ethz.grant.agreementno
642682
ethz.grant.fundername
SBFI
ethz.grant.funderDoi
10.13039/501100007352
ethz.grant.program
H2020
ethz.date.deposited
2018-01-22T11:10:28Z
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-29T13:54:10Z
ethz.rosetta.lastUpdated
2022-03-29T20:40:08Z
ethz.rosetta.versionExported
true
ethz.COinS
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