A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F20%3A39917234" target="_blank" >RIV/00216275:25510/20:39917234 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/content/pdf/10.1007/s40534-020-00223-w.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007/s40534-020-00223-w.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s40534-020-00223-w" target="_blank" >10.1007/s40534-020-00223-w</a>

Result language

angličtina

Original language name

A novel anti-slip control approach for railway vehicles with traction based on adhesion estimation with swarm intelligence

Original language description

Anti-slip control systems are essential for railway vehicle systems with traction. In order to propose an effective anti-slip control system, adhesion information between wheel and rail can be useful. However, direct measurement or observation of adhesion condition for a railway vehicle in operation is quite demanding. Therefore, a proportional-integral controller, which operates simultaneously with a recently proposed swarm intelligence-based adhesion estimation algorithm, is proposed in this study. This approach provides determination of the adhesion optimum on the adhesion-slip curve so that a reference slip value for the controller can be determined according to the adhesion conditions between wheel and rail. To validate the methodology, a tram wheel test stand with an independently rotating wheel, which is a model of some low floor trams produced in Czechia, is considered. Results reveal that this new approach is more effective than a conventional controller without adhesion condition estimation.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20104 - Transport engineering

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

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

Name of the periodical

RAILWAY ENGINEERING SCIENCE

ISSN

2662-4745

e-ISSN

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Volume of the periodical

Vol. 28

Issue of the periodical within the volume

Issue 4

Country of publishing house

US - UNITED STATES

Number of pages

19

Pages from-to

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UT code for WoS article

000592574700002

EID of the result in the Scopus database

2-s2.0-85096471399