MATEC Web Conf.
Volume 294, 20192nd International Scientific and Practical Conference “Energy-Optimal Technologies, Logistic and Safety on Transport” (EOT-2019)
|Number of page(s)||7|
|Section||Interoperability, Safety and Certification on Transport|
|Published online||16 October 2019|
Study of rail vehicles movement characteristics improvement in curves using fuzzy logic mechatronic systems
DNUZT, Department of locomotives, 49010 Dnipro, Lazaryan Street 2, Ukraine
2 EUNU, Department of logistic management and traffic safety, 93405 Severodonetsk, Central Avenue, 59A, Ukraine
3 EUNU, Department of railway and road transport, lift and care systems, 93405 Severodonetsk, Central Avenue, 59A, Ukraine
* Corresponding author: email@example.com
The article deals with the effectiveness of reducing the level of force interaction of the rail vehicle wheels with rails in curved sections of the track through the use of mechatronic position control systems for wheel pairs in the rail gauge in the horizontal plane. The approaches to the creation of such a mechatronic system operating on the principles of fuzzy logic are described. To determine the angles of attack of wheels on the rails, it was proposed to use the acoustic emission indicators of the contact of the wheel with the rail. To determine the direction of curvature of the rail track, it is advisable to use data from navigation systems. The study of the dynamics of the rail vehicle during the passage of a curved section of the track in real time was carried out using the Matlab/Simulink software package. The proposed mechatronic control system for the position of the wheel sets in the horizontal plane allows to ensure their optimal installation under various driving conditions in the rail gauge. This makes it possible to minimize the angles of attack of the wheels and reduce the forces of the horizontal interaction of the wheels with the rails.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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