Show simple item record

dc.contributor.author
Büchi, Roland
dc.contributor.editor
Breitenecker, Felix
dc.contributor.editor
Deatcu, Christina
dc.contributor.editor
Durak, Umut
dc.contributor.editor
Körner, Andreas
dc.contributor.editor
Pawletta, Thorsten
dc.date.accessioned
2022-08-18T08:34:06Z
dc.date.available
2022-08-18T07:04:38Z
dc.date.available
2022-08-18T07:18:41Z
dc.date.available
2022-08-18T08:34:06Z
dc.date.issued
2022-07-25
dc.identifier.isbn
978-3-901608-97-1
en_US
dc.identifier.other
10.11128/arep.20.a2013
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/564636
dc.identifier.doi
10.3929/ethz-b-000564636
dc.description.abstract
This publication provides useful parameter sets in tabu-lar form for PID controllers for various rise and dead times of step responses of asymptotically stable control systems, which minimize the common quality criteria in the time domain, integral of absolute error IAE, integral of time-multiplied absolute value of error ITAE and inte-gral of sqared error ISE. Since the determination of the parameter sets is very computationally intensive, an approach from the field of artificial intelligence was chosen. The application of the parameter sets found is verified with examples. The parameter sets also take into ac-count the controller output limitations that are relevant in practice and can basically be used for all PID control-lers of controlled systems with a time delay.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Arbeitsgemeinschaft Simulation
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
control theory
en_US
dc.title
Parameter tables for PID controllers for time delayed systems optimized with a learning method
en_US
dc.type
Conference Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.book.title
Proceedings Langbeiträge ASIM SST 2022, 26. Symposium Simulationstechnik, TU Wien
en_US
ethz.journal.title
ARGESIM Report
ethz.journal.volume
20
en_US
ethz.pages.start
179
en_US
ethz.pages.end
185
en_US
ethz.size
7 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
26. Symposium Simulationstechnik (ASIM 2022)
en_US
ethz.event.location
Vienna, Austria
en_US
ethz.event.date
July 25–27, 2022
en_US
ethz.notes
ASIM Mitteilung 180
en_US
ethz.publication.place
Wien
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.
en_US
ethz.date.deposited
2022-08-18T07:04:45Z
ethz.source
FORM
ethz.eth
no
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-08-18T08:34:13Z
ethz.rosetta.lastUpdated
2023-02-07T05:24:17Z
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Parameter%20tables%20for%20PID%20controllers%20for%20time%20%20delayed%20systems%20optimized%20with%20a%20learning%20method&rft.jtitle=ARGESIM%20Report&rft.date=2022-07-25&rft.volume=20&rft.spage=179&rft.epage=185&rft.au=B%C3%BCchi,%20Roland&rft.isbn=978-3-901608-97-1&rft.genre=proceeding&rft_id=info:doi/10.11128/arep.20.a2013&rft.btitle=Proceedings%20Langbeitr%C3%A4ge%20ASIM%20SST%202022,%2026.%20Symposium%20Simulationstechnik,%20TU%20Wien
 Search print copy at ETH Library

Files in this item

Thumbnail

Publication type

Show simple item record