Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Research on Co-Simulation Modelling and Anti-Skid Control for Rolling Stock Braking System

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

Control performance of rolling system has important influence on safety transport operation on stock braking, especially braking anti-skid control performance in the state of low adhesion. Aimed at current computerized direct acting electro-pneumatic braking system, creep model between wheel and rail, braking dynamics model, pneumatic braking unit, and anti-skid control model is established in this paper. By using simulation interface with each other between MATLAB/Simulink and AMESim, co-simulation platform for braking anti-skid control system is built up, and the effectiveness of the platform is verified through comparing simulation data with experimental data. Simulation analysis is carried out for typical slide conditions with various adhesive constraints and different initial braking speed, control performance of threshold value of many anti-skid criterions was studied, and discussed through analyzing simulation results by means of braking distance, braking time, and adhesive utilization, and verified by HIL (hardware-in-loop) simulation. The results show that the co-simulation platform can be used to simulate the sliding conditions in the braking process, and to optimize the criterion parameters of braking anti-skid control stagey.

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 97 - 108
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

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Wengliang Zhu [email protected]
College of Urban Railway Transportation, Shanghai Univ. of Engineering Science, Shanghai. E-mail: [email protected]
Jiajun Zhou [email protected]
Institute of Rail Transit, Tongji Univ., Shanghai. E-mail: [email protected]

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