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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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

Počet stran výsledku

4

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Targoviste, Romania

Datum konání akce

29. 6. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000425865900118