Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233923" target="_blank" >RIV/68407700:21230/15:00233923 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

Popis výsledku v původním jazyce

Important task of railway traction vehicles is to achieve maximal traction effort at any conditions if required. For this purpose the vehicles have slip controllers. Some types of this controllers need the vehicle longitudinal velocity value as an input.The vehicle longitudinal velocity is difficult to measure directly because the vehicle longitudinal velocity could not be directly determined from wheel velocity. When the wheel is driven its velocity is higher than the vehicle longitudinal velocity because of the slip phenomenon. The paper describes method that provides possibility to estimate the vehicle velocity on base of measured wheel velocity. Estimation of the vehicle longitudinal velocity is enabled by Kalman filtration. The method is verifiedby MatLab simulation using real measured data.

Název v anglickém jazyce

Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

Popis výsledku anglicky

Important task of railway traction vehicles is to achieve maximal traction effort at any conditions if required. For this purpose the vehicles have slip controllers. Some types of this controllers need the vehicle longitudinal velocity value as an input.The vehicle longitudinal velocity is difficult to measure directly because the vehicle longitudinal velocity could not be directly determined from wheel velocity. When the wheel is driven its velocity is higher than the vehicle longitudinal velocity because of the slip phenomenon. The paper describes method that provides possibility to estimate the vehicle velocity on base of measured wheel velocity. Estimation of the vehicle longitudinal velocity is enabled by Kalman filtration. The method is verifiedby MatLab simulation using real measured data.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of PIERS 2015 in Prague

ISBN

978-1-934142-30-1

ISSN

1559-9450

e-ISSN

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Počet stran výsledku

4

Strana od-do

2518-2521

Název nakladatele

Electromagnetics Academy

Místo vydání

Cambridge

Místo konání akce

Praha

Datum konání akce

6. 7. 2015

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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