Title: Implementations of UKF and EKF for Wheel Slip Control Purpose to Locomotive Computer
Authors: Pichlík, Petr
Citation: 2018 International Conference on Applied Electronics: Pilsen, 11th – 12th September 2018, Czech Republic, 117-120.
Issue Date: 2018
Publisher: Západočeská univerzita v Plzni
Document type: konferenční příspěvek
URI: http://hdl.handle.net/11025/35485
ISBN: 978–80–261–0721–7
ISSN: 1803–7232
Keywords: ovládání skluzu;rozšířený Kalmanův filtr;necentrovaný Kalmanův filtr;železnice
Keywords in different language: slip control;extended Kalman filter;unscented Kalman filter;railway
Abstract in different language: Modern 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.
Rights: © Západočeská univerzita v Plzni
Appears in Collections:Applied Electronics 2018
Applied Electronics 2018

Files in This Item:
File Description SizeFormat 
Pichlík.pdfPlný text702,99 kBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/35485

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.