Dependence of locomotive adhesion force estimation by a Kalman filter on the filter settingsv

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F17%3A00312640" target="_blank" >RIV/68407700:21230/17:00312640 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.proeng.2017.06.120" target="_blank" >http://dx.doi.org/10.1016/j.proeng.2017.06.120</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.proeng.2017.06.120" target="_blank" >10.1016/j.proeng.2017.06.120</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Dependence of locomotive adhesion force estimation by a Kalman filter on the filter settingsv

Popis výsledku v původním jazyce

A locomotive needs a slip controller to achieve the maximal tractive effort. Many types of methods are used for this purpose. Some methods use a Kalman filter or other type of estimation. These methods can work precisely and reliably. The Kalman filter provides a filtration of an output signal to eliminate the output signals noise when the Kalman filter inputs are noisy, and a filtration level is required. There is a relation between the Kalman filter filtration level and its delay. The Kalman filter delay can reach over 100 milliseconds. The locomotive slip controller has to react in the order of tens of milliseconds to provide an appropriate function. The high level of filtration and low delay are contradictory demands. The key is to find a relation between the Kalman filter delay and filtration through its covariance matrixes. In the paper is investigated the relation between the filtration level and the time delay. The simulations are made in the Matlab software and based on measured data.

Název v anglickém jazyce

Dependence of locomotive adhesion force estimation by a Kalman filter on the filter settingsv

Popis výsledku anglicky

A locomotive needs a slip controller to achieve the maximal tractive effort. Many types of methods are used for this purpose. Some methods use a Kalman filter or other type of estimation. These methods can work precisely and reliably. The Kalman filter provides a filtration of an output signal to eliminate the output signals noise when the Kalman filter inputs are noisy, and a filtration level is required. There is a relation between the Kalman filter filtration level and its delay. The Kalman filter delay can reach over 100 milliseconds. The locomotive slip controller has to react in the order of tens of milliseconds to provide an appropriate function. The high level of filtration and low delay are contradictory demands. The key is to find a relation between the Kalman filter delay and filtration through its covariance matrixes. In the paper is investigated the relation between the filtration level and the time delay. The simulations are made in the Matlab software and based on measured data.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

TRANSCOM 2017, 12th International Scientific Conference Of Young Scientists On Sustainable, Modern and Safe Transport

ISBN

—

ISSN

1877-7058

e-ISSN

—

Počet stran výsledku

6

Strana od-do

695-700

Název nakladatele

Elsevier BV

Místo vydání

Linz

Místo konání akce

Horný Smokovec

Datum konání akce

31. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000404958000120