Comparison of Locomotive Adhesion Force Estimation Methods for a Wheel Slip Control Purpose

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312633" target="_blank" >RIV/68407700:21230/17:00312633 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ECAI.2017.8166502" target="_blank" >http://dx.doi.org/10.1109/ECAI.2017.8166502</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ECAI.2017.8166502" target="_blank" >10.1109/ECAI.2017.8166502</a>

Result language
angličtina
Original language name
Comparison of Locomotive Adhesion Force Estimation Methods for a Wheel Slip Control Purpose
Original language description
Locomotives are equipped with slip controllers to limit a value of a wheel slip velocity and conducive to reach required locomotive tractive effort. The slip control methods are developed for tenths years, and the methods are based on several principles. Progressive methods determine an adhesion-slip characteristic slope. This method requires knowledge of an adhesion coefficient value or an adhesion force value. These quantities cannot be measured directly during the train run. Therefore, these quantities are estimated by some estimation techniques. A Kalman filter or its nonlinear variants as an extended Kalman filter or an unscented Kalman filter can be used as estimators of the quantities. Every filter has different features, and the estimated output is different. The filters performance during adhesion estimation for a locomotive slip control is presented in the paper. The comparison of the filters is made for various filters setting. The comparison is based on measured data as offline simulation in Matlab software.
Czech name
—
Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2017 9th International Conference on Electronics, Computers and Artifical Intelligence (ECAI)
ISBN
978-1-5090-6458-8
ISSN
1843-2115
e-ISSN
2378-7147
Number of pages
4
Pages from-to
—
Publisher name
IEEE
Place of publication
New York
Event location
Targoviste, Romania
Event date
Jun 29, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000425865900118

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