Train Velocity Estimation by Extended Kalman Filter

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00304421" target="_blank" >RIV/68407700:21230/16:00304421 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Train Velocity Estimation by Extended Kalman Filter
Original language description
A train longitudinal velocity is needed for some control devices. The train velocity is typically determined from a locomotive wheelsets velocity. This solution can cause problems when the wheelsets are driven or braked. In these cases, the wheelset velocity is higher or lower than the train longitudinal velocity due to a slip or skid velocity. The problem is typically solved by some type of averaging or filtration of all available wheelsets velocities. These algorithms need to know all wheelsets velocities at the same time. This task can be difficult to fulfil in some types of distributed computer systems due to communication delays between computers. The problem is solved by using an extended Kalman filter that estimates the train velocity from one wheelset velocity in the paper. The filter and its properties are described and designed in the paper. The measured data are used for the filter function check.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2016 8th International Conference on Electronics, Computers and Artifical Intelligence (ECAI)
ISBN
978-1-5090-2046-1
ISSN
1843-2115
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
New York
Event location
Ploiești
Event date
Jun 30, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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