Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00302069" target="_blank" >RIV/68407700:21230/16:00302069 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.7305/automatika.2016.10.1152" target="_blank" >http://dx.doi.org/10.7305/automatika.2016.10.1152</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.7305/automatika.2016.10.1152" target="_blank" >10.7305/automatika.2016.10.1152</a>

Result language

angličtina

Original language name

Adhesion Force Detection Method Based on the Kalman Filter for Slip Control Purpose

Original language description

The slip control is important for an adhesion force transmission between locomotive wheels and rails. The slip control consists of two tasks. The first task is the slip value detection and the second one is the evaluation of a slip value with a subsequent control action. These two tasks can be realized by many types of methods. Several detection methods use an adhesion coefficient or the adhesion force determination. Because of difficulty of the adhesion coefficient measurement during the train run the adhesion coefficient or the adhesion force has to be estimated. In this paper, the adhesion force is estimated by the Kalman filter. The Kalman filter uses the locomotive model and measured locomotive velocity. The Kalman filter is implemented in Matlab and also applied on measured data.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

Automatika

ISSN

0005-1144

e-ISSN

—

Volume of the periodical

57

Issue of the periodical within the volume

2

Country of publishing house

HR - CROATIA

Number of pages

11

Pages from-to

405-415

UT code for WoS article

000384937700014

EID of the result in the Scopus database

2-s2.0-84990878600