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dc.contributor.authorŠuster, Peter
dc.contributor.authorJadlovská, Anna
dc.contributor.editorPihera, Josef
dc.contributor.editorSteiner, František
dc.date.accessioned2013-05-07T12:05:58Z
dc.date.available2013-05-07T12:05:58Z
dc.date.issued2013
dc.identifier.citationElectroscope. 2013, č. 1.cs
dc.identifier.issn1802-4564
dc.identifier.urihttp://147.228.94.30/images/PDF/Rocnik2013/Cislo1_2013/r6c3c8.pdf
dc.identifier.urihttp://hdl.handle.net/11025/1883
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plzni, Fakulta elektrotechnickács
dc.relation.ispartofseriesElectroscopecs
dc.rights© 2013 Electroscope. All rights reserved.en
dc.subjectmagnetická levitacecs
dc.subjectsimulace a modelovánícs
dc.subjectmatematické modelovánícs
dc.subjectnelineární modelovánícs
dc.subjectgenetický algoritmuscs
dc.titleApplication results identification based on genetic algorithm in nonlinear control design of magnetic levitation systemen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedIn this paper is presented the SISO laboratory model of Magnetic levitation in terms of mathematic description, which allows verifying the different approaches of identification and control. The nonlinear simulat ion model of the Magnetic levitation based on the mathemat ical model of the Magnetic levitation system is described. The unknown parameters of the Magnetic levitation model are identifying with using the genetic algorithm or direct measurement on the laboratory model and validation the obtained model parameters is performed after the identification. In this paper are also presented the control results of Magnetic levitation simulat ion and laboratory model with using the optimal state control with integrator method and the exact feedback linearizat ion input/output method.en
dc.subject.translatedmagnetic levitationen
dc.subject.translatedsimulation and modellingen
dc.subject.translatedmathematical modellingen
dc.subject.translatednonlinear modellingen
dc.subject.translatedgenetic algorithmen
dc.type.statusPeer-revieweden
Appears in Collections:Číslo 1 (2013)
Číslo 1 (2013)

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