Train Velocity Estimation by Extended Kalman Filter

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Train Velocity Estimation by Extended Kalman Filter

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Train Velocity Estimation by Extended Kalman Filter

Popis výsledku anglicky

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.

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

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

4

Strana od-do

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Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Ploiești

Datum konání akce

30. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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