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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 110
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo
Paper 325
Simulation of a Railway Pneumatic Brake Controller A.A. Santos1, P.R.G. Kurka1, T.S. Martins2, D.F. Ribeiro1 and I.P. Teodoro1
1Department of Integrated Systems, University of Campinas, Brazil
A.A. Santos, P.R.G. Kurka, T.S. Martins, D.F. Ribeiro, I.P. Teodoro, "Simulation of a Railway Pneumatic Brake Controller", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 325, 2016. doi:10.4203/ccp.110.325
Keywords: railway brake systems, brake simulation, mathematical modelling, mechanical systems, brake distribution in trains, pneumatic brakes, control of railway brakes.
Summary
Pneumatic brakes are commonly used in heavy haul trains for economic reasons. The pneumatic brake system is comprised of a series of valves and chambers that respond to a logic of pneumatic and mechanical interactions. In this paper a mathematical model that reproduces the dynamic response of the system is presented, based on the physical behaviour of the fluid (compressed air) and the AB brake valves in responses to pressure variation in the brake pipeline. The pressures and air speeds along the pipeline are calculated using conservation equations. The pressure in each chamber of the system is calculated as a function of the inlet mass-flow and the pressure in the chambers next to it. The model was manipulated to show the pressure variation as a function of time. Based on numerical integration using a Taylor series, the model was implemented in Matlab®, so that the instantaneous pressure response in each reservoir of the system could be visualized in a graphical format. The model was adjusted to fit real data of a ten car train provided by an ore transportation company and it was compared with the real data of one and fifty cars trains. The results show good agreement between the model and the supplied data.
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