Modelling and Simulation of Complex Pneumatic Control Valve for Train Braking System

Modelling and Simulation of Complex Pneumatic Control Valve for Train Braking System

Meng-Ling Wu Lu Zhu Chun Tian

Institute of Railway and Urban Mass Transit, Tongji University, Shanghai, China

Page: 
202-214
|
DOI: 
https://doi.org/10.2495/TDI-V2-N2-202-214
Received: 
N/A
|
Revised: 
N/A
|
Accepted: 
N/A
|
Available online: 
1 February 2018
| Citation

OPEN ACCESS

Abstract: 

Aimed at discrete character of complex pneumatic control valve, the 120 emergency valve was taken as an example. Under the theory of power bond graph and model approximation and introduction of controllable node and virtual element, the mathematic model of 120 emergency valve was built with uniform causality in different working modes. The created bond graph was utilized to research the effects of two structural parameters (aperture size of hole Ⅲ and gap between piston rod and push rod) on stability and emergency sensitivity. Analysis results show that when the diameter is designed as 2.5 mm, the selection range of the gap will be 3–3.5 mm; when the gap is designed as 3 mm, the diameter will be 2.5–2.7 mm. The proposed method may be commonly applied to modelling and analysis of other complex pneumatic control valve.

Keywords: 

120 emergency valve, bond graph, pneumatic control valve, railway, simulation model

  References

[1] Wei, W. & Li, H., Simulation of 120 Vehicle Distribute Valve and its test rig – Main valve model and results [J]. Journal of Dalian Railway Institute, 21(2), pp. 18–24, 2000. DOI: 10.1128/MCB.13.8.4513.

[2] Wei, W., Liu, T. & Zhang, J., The simulation model of KZ1 Control Valve and the simulation study on train braking performance [J]. China Railway Science, 2010(01), pp. 105–110, 2010. DOI: 10.1016/S0045-7825(98)80008-X.

[3] Piechowiak, T., Pneumatic train brake simulation method [J]. Vehicle System Dynamics, 47(12), pp. 1473–1492, 2009. DOI: 10.1080/00423110802600946.

[4] Zhao, Y. & Wei, W., The effect of the 120 valve aperture to the brake system performance [J]. Journal of Railway Science and Engineering, 9(1), pp. 68–73, 2012. DOI: 10.3969/j.issn.1672-7029.2012.01.013.

[5] Murtaza, M.A. & Garg, S.B.L., Brake modelling in train simulation studies [J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 203(2), pp. 87–95, 1989. DOI: 10.1016/0020-7403(70)90042-1.

[6] Murtaza, M.A. & Garg, S.B.L., Transients during a railway air brake release demand [J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 204(1), pp. 31–38, 1990. DOI: 10.1016/0020-7403(70)90042-1.

[7] Wu, Z., Ren, L., Pei, Y., et al., Simulation of relay-valve of metro braking system performance [J]. Urban Mass Transit, 14(9), pp. 52–57, 2011. DOI: 10.3969/j.issn.1007- 869X.2011.09.013.

[8] Yang, C., Ni, W., Jiang, D., et al., Modeling and simulation analysis of 120 emergency valve using AMESim [J]. Railway Locomotive, 29(6), pp. 37–39, 2009. DOI: 10.3969/j. issn.1008-7842.2009.06.012.

[9] Pugi, L., Palazzolo, A. & Fioravanti, D., Simulation of railway brake plants: An application to SAADKMS freight wagons. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 222(4), pp. 321–329, 2008. DOI: 10.1243/0954409041319632.

[10] Guo, F., Li, Y., Song, Z. & Zhang, L., Screw bond graph in the application of the parallel mechanism dynamics modelling [J]. Journal of Mechanical Engineering, 51(23), pp. 12–19, 2015. DOI: 10.3901/JME.2015.23.012.

[11] Yong, Y., Cong, H., Zhang, L., et al., Summarization of fault diagnosis method of dynamic system based on bond graphs [J]. Journal of Academy of Armored Force Engineering, 29(5), pp. 77–82, 2015. DOI: 10.3969/j.issn.1672-1497.2015.05.016.

[12] Saeed, B. & Amir, K., Causality in vector bond graphs and its application to modeling of multi-body dynamic systems [J]. Simulation Modelling Practice and Theory, 14(3), pp. 279–295, 2006. DOI: 10.1016/j.simpat.2005.06.001.

[13] Borutzky, W., Bond graph model-based fault detection using residual sinks [J]. Journal of Systems and Control Engineering, 223(3), pp. 337–352, 2009. DOI: 10.1243/09544054JEM693.

[14] Niu, G. & Zhao, Y., Bond graph model fault detection and isolation for locomotive brake [J]. Journal of Tongji University (Natural Science), 43(6), pp. 894–899, 2015. DOI: 10.11908/j.issn.0253-374x.2015.06.014.

[15] Marquis, F.W., Mouhib, O., Chereji, B., et al., Bond graph formulation of an optimal control problem for linear time invariant systems [J]. Journal of the Franklin Institute, 345(4), pp. 349–373, 2008. DOI: 10.1016/j.jfranklin.2007.10.005.

[16] Mosterman, P., Biswas, G., A theory of discontinuities in physical system models. Journal of the Franklin Institute, 335(3), pp. 401439, 1998. DOI: 10.1016/S0016- 0032(96)00126-3.

[17] Ministry of Railways, Regulations for Freight Car Repair, China Railway Press, ­Beijing, 2012: 127–133. ISBN: 7-113-01334-1/U405.