Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-28604
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dc.contributor.authorBüchi, Roland-
dc.date.accessioned2023-09-08T12:51:05Z-
dc.date.available2023-09-08T12:51:05Z-
dc.date.issued2023-04-
dc.identifier.isbn978-625-00-1526-1de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/28604-
dc.description.abstractEmbedded controllers are used in many applications. It often happens that these do not offer any possibilities to set the controller parameters, because they are capsulated to outside. The closed-loop systems are then stable, but the systems are often weakly damped and their step responses exhibit overshoot. In the following, a method is described, how such embedded controlled systems can be controlled via a superimposed feedback loop using PID controllers in such a way that the system deviation of the step response is minimized according to the ITAE method. A method from artificial intelligence, hill climbing, is used for this purpose. For the control of such systems, the paper essentially provides PID controller parameters, which are usable for many weakly damped systems. The parameters are verified in a practical application with a speed control of a motor with inertial mass.de_CH
dc.language.isoende_CH
dc.publisherECERde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectPIDde_CH
dc.subjectITAEde_CH
dc.subjectHill climbingde_CH
dc.subjectEmbedded controlde_CH
dc.subjectSwarm intelligencede_CH
dc.subjectRenewable energyde_CH
dc.subjectStatistical analysisde_CH
dc.subjectArtificial intelligencede_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.titlePID parameter tables after ITAE to control overshooting systems found with AI algorithmde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.53375/icmame.2023.216de_CH
dc.identifier.doi10.21256/zhaw-28604-
zhaw.conference.detailsInternational Conference on Mechanical, Automotive and Mechatronics Engineering (ICMAME), Dubai, United Arab Emirates (online), 29-30 April 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsICMAME 2023 Conference Proceedingsde_CH
zhaw.webfeedSoftware Engineeringde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
Appears in collections:Publikationen School of Engineering

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Büchi, R. (2023, April). PID parameter tables after ITAE to control overshooting systems found with AI algorithm. ICMAME 2023 Conference Proceedings. https://doi.org/10.53375/icmame.2023.216
Büchi, R. (2023) ‘PID parameter tables after ITAE to control overshooting systems found with AI algorithm’, in ICMAME 2023 Conference Proceedings. ECER. Available at: https://doi.org/10.53375/icmame.2023.216.
R. Büchi, “PID parameter tables after ITAE to control overshooting systems found with AI algorithm,” in ICMAME 2023 Conference Proceedings, Apr. 2023. doi: 10.53375/icmame.2023.216.
BÜCHI, Roland, 2023. PID parameter tables after ITAE to control overshooting systems found with AI algorithm. In: ICMAME 2023 Conference Proceedings. Conference paper. ECER. April 2023. ISBN 978-625-00-1526-1
Büchi, Roland. 2023. “PID Parameter Tables after ITAE to Control Overshooting Systems Found with AI Algorithm.” Conference paper. In ICMAME 2023 Conference Proceedings. ECER. https://doi.org/10.53375/icmame.2023.216.
Büchi, Roland. “PID Parameter Tables after ITAE to Control Overshooting Systems Found with AI Algorithm.” ICMAME 2023 Conference Proceedings, ECER, 2023, https://doi.org/10.53375/icmame.2023.216.


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