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Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

The result's identifiers

  • Result code in 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>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Railway Traction Vehicle Longitudinal Velocity Estimation by Kalman Filter

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of PIERS 2015 in Prague

  • ISBN

    978-1-934142-30-1

  • ISSN

    1559-9450

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    2518-2521

  • Publisher name

    Electromagnetics Academy

  • Place of publication

    Cambridge

  • Event location

    Praha

  • Event date

    Jul 6, 2015

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article