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dc.contributor.author
Tsokanas, Nikolaos
dc.contributor.author
Wagg, David
dc.contributor.author
Stojadinovic, Bozidar
dc.date.accessioned
2020-08-17T05:08:39Z
dc.date.available
2020-08-14T18:56:41Z
dc.date.available
2020-08-17T05:08:39Z
dc.date.issued
2020-08
dc.identifier.issn
2297-3362
dc.identifier.other
10.3389/fbuil.2020.00127
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/431502
dc.identifier.doi
10.3929/ethz-b-000431502
dc.description.abstract
Hybrid simulation is an efficient method to obtain the response of an emulated system subjected to dynamic excitation by combining loading-rate-sensitive numerical and physical substructures. In such simulations, the interfaces between physical and numerical substructures are usually implemented using transfer systems, i.e., an arrangement of actuators. To guarantee high fidelity of the simulation outcome, conducting hybrid simulation in hard real-time is required. Albeit attractive, real-time hybrid simulation comes with numerous challenges, such as the inherent dynamics of the transfer system used, along with communication interrupts between numerical and physical substructures, that introduce time delays to the overall hybrid model altering the dynamic response of the system under consideration. Hence, implementation of adequate control techniques to compensate for such delays is necessary. In this study, a novel control strategy is proposed for time delay compensation of actuator dynamics in hard real-time hybrid simulation applications. The method is based on designing a transfer system controller consisting of a robust model predictive controller along with a polynomial extrapolation algorithm and a Kalman filter. This paper presents a proposed tracking controller first, followed by two virtual real-time hybrid simulation parametric case studies, which serve to validate the performance and robustness of the novel control strategy. Real-time hybrid simulation using the proposed control scheme is demonstrated to be effective for structural performance assessment.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Frontiers
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
real-time hybrid simulation
en_US
dc.subject
model predictive control (MPC)
en_US
dc.subject
Actuator Dynamics
en_US
dc.subject
Dynamic response
en_US
dc.subject
polynomial extrapolation
en_US
dc.subject
Kalman filter
en_US
dc.subject
uncertainty propagation
en_US
dc.title
Robust Model Predictive Control for Dynamics Compensation in Real-Time Hybrid Simulation
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2020-08-14
ethz.journal.title
Frontiers in Built Environment
ethz.journal.volume
6
en_US
ethz.journal.abbreviated
Front. Built Environ.
ethz.pages.start
127
en_US
ethz.size
17 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.notes
The original datasets presented in this study can be found online in https://www.research-collection.ethz.ch/handle/20. 500.11850/424317, https://doi.org/10.3929/ethz-b-000424317.
en_US
ethz.grant
Dynamic virtualisation: modelling performance of engineering structures
en_US
ethz.identifier.scopus
ethz.publication.place
Lausanne
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02605 - Institut für Baustatik u. Konstruktion / Institute of Structural Engineering::03930 - Stojadinovic, Bozidar / Stojadinovic, Bozidar
en_US
ethz.grant.agreementno
764547
ethz.grant.fundername
EC
ethz.grant.funderDoi
10.13039/501100000780
ethz.grant.program
H2020
ethz.relation.isSupplementedBy
10.3929/ethz-b-000424317
ethz.date.deposited
2020-08-14T18:57:00Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-08-17T05:09:01Z
ethz.rosetta.lastUpdated
2020-08-17T05:09:01Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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