Back to Search Start Over

Real-time wheel–rail friction coefficient estimation and its application.

Authors :
Zhao, Yunshi
Shen, Longjiang
Jiang, Zhongcheng
Zhang, Bo
Liu, Guoyun
Shu, Yao
Peng, Bo
Source :
Vehicle System Dynamics. Oct2023, Vol. 61 Issue 10, p2598-2612. 15p.
Publication Year :
2023

Abstract

The friction coefficient at the wheel–rail interface is crucial for the traction, braking and guidance of the railway vehicle. Real-time knowledge of the friction coefficient could reduce wheel–rail damages as well as improve the vehicle running performance. The friction coefficient is very difficult to be directly measured; hence an indirect measurement method using an unscented Kalman filter was proposed in this paper. A re-adhesion controller was also developed. The method was assessed in a Simpack-Simulink co-simulation environment. The friction coefficient estimation method was found to be accurate, and the re-adhesion controller improved the vehicle braking performance as well as reduced the wheel–rail damage. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00423114
Volume :
61
Issue :
10
Database :
Academic Search Index
Journal :
Vehicle System Dynamics
Publication Type :
Academic Journal
Accession number :
171584347
Full Text :
https://doi.org/10.1080/00423114.2022.2159846