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DC poleHodnotaJazyk
dc.contributor.authorPichlík, Petr
dc.contributor.editorPinker, Jiří
dc.date.accessioned2019-10-17T12:11:00Z
dc.date.available2019-10-17T12:11:00Z
dc.date.issued2018
dc.identifier.citation2018 International Conference on Applied Electronics: Pilsen, 11th – 12th September 2018, Czech Republic, 117-120.en
dc.identifier.isbn978–80–261–0721–7
dc.identifier.issn1803–7232
dc.identifier.urihttp://hdl.handle.net/11025/35485
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plznics
dc.subjectovládání skluzucs
dc.subjectrozšířený Kalmanův filtrcs
dc.subjectnecentrovaný Kalmanův filtrcs
dc.subjectželeznicecs
dc.titleImplementations of UKF and EKF for Wheel Slip Control Purpose to Locomotive Computeren
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedModern electric locomotives have to transfer high tractive effort between wheels and rails. Therefore, they have to be equipped with slip controllers that enable to achieve required force and keep wheelsets velocity in the acceptable value. The slip controller is a part of thelocomotive control algorithm that runs on an axle computer that is typically a digital signal processor with limited computational power. The modern slip controller requires determining anactual value of adhesion that cannot be directly measured during the train runs. Therefore, the adhesion estimation is necessary. Extended Kalman filter or unscented Kalman filter can be used with an advantage because they can cope with some drawbacks of conventional methods. However, they are not typically used because of their high computational requirements. Therefore, the extended Kalman filter and unscented Kalman filter are implemented into a digital signal processor that is typically used in the locomotives as an axle computer to verify the possibility of used slip control methods based on the mentioned estimators in the paper. The verification is made on measured data.en
dc.subject.translatedslip controlen
dc.subject.translatedextended Kalman filteren
dc.subject.translatedunscented Kalman filteren
dc.subject.translatedrailwayen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Applied Electronics 2018
Applied Electronics 2018

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