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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

—

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 periodika

Automatika

ISSN

0005-1144

e-ISSN

—

Svazek periodika

57

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

11

Strana od-do

405-415

Kód UT WoS článku

000384937700014

EID výsledku v databázi Scopus

2-s2.0-84990878600