PDF
Abstract
In wheel–rail adhesion studies, most of the test rigs used are simplified designs such as a single wheel or wheelset, but the results may not be accurate. Alternatively, representing the complex system by using a full vehicle model provides accurate results but may incur complexity in design. To trade off accuracy over complexity, a bogie model can be the optimum selection. Furthermore, only a real-time model can replicate its physical counterpart in the time domain. Developing such a model requires broad expertise and appropriate software and hardware. A few published works are available which deal with real-time modeling. However, the influence of the control system has not been included in those works. To address these issues, a real-time scaled bogie test rig including the control system is essential. Therefore, a 1:4 scaled bogie roller rig is developed to study the adhesion between wheel and roller contact. To compare the performances obtained from the scaled bogie test rig and to expand the test applications, a numerical simulation model of that scaled bogie test rig is developed using Gensys multibody software. This model is the complete model of the test rig which delivers more precise results. To exactly represent the physical counterpart system in the time domain, a real-time scaled bogie test rig (RT-SBTR) is developed after four consecutive stages. Then, to simulate the RT-SBTR to solve the internal state equations and functions representing the physical counterpart system in equal or less than actual time, the real-time simulation environment is prepared in two stages. To such end, the computational time improved from 4 times slower than real time to 2 times faster than real time. Finally, the real-time scaled bogie model is also incorporated with the braking control system which slightly reduces the computational performances without affecting real-time capability.
Keywords
Bogie modeling
/
Scaled bogie test rig
/
Real-time simulation
/
Wheel–rail adhesion
/
Software in loop
Cite this article
Download citation ▾
Sundar Shrestha, Maksym Spiryagin, Qing Wu.
Real-time multibody modeling and simulation of a scaled bogie test rig.
Railway Engineering Science, 2020, 28(2): 146-159 DOI:10.1007/s40534-020-00213-y
| [1] |
Shrestha S Spiryagin M Wu Q. Friction condition characterization for rail vehicle advanced braking system. Mech Syst Signal Process, 2019 134 106324
|
| [2] |
Bosso N Allen PD Zampieri N. Iwnicki S Spiryagin M Cole C McSweeney T. Scale testing theory and approaches. Handbook of railway vehicle dynamics, 2019 2 Boca Raton CRC Press
|
| [3] |
Jaschinski A. On the application of similarity laws to a scaled railway bogie model, 1990 Delft Delft University of Technology
|
| [4] |
Allotta B Pugi L Malvezzi M . A scaled roller test rig for high-speed vehicles. Veh Syst Dyn, 2010 48 sup1 3-18
|
| [5] |
Bosso N Gugliotta A Somà A. Comparison of different scaling techniques for the dynamics of a bogie on roller rig. Veh Syst Dyn, 2002 37 sup1 514-530
|
| [6] |
Shrestha S Wu Q Spiryagin M. Review of adhesion estimation approaches for rail vehicles. Int J Rail Transp, 2019 7 2 79-102
|
| [7] |
Chang C Chen B Cai Y . An experimental study of high speed wheel-rail adhesion characteristics in wet condition on full scale roller rig. Wear, 2019 440–441 203092
|
| [8] |
Bruni S Liu B Sabbioni E . Development of a MB model for designing a control strategy of a full scale roller rig. Dyn Veh Roads Tracks, 2018 2 885-891
|
| [9] |
Bosso N Zampieri N. Experimental and numerical simulation of wheel-rail adhesion and wear using a scaled roller rig and a real-time contact code. Shock Vib, 2014 2 1-14
|
| [10] |
Bosso N Zampieri N. Real-time implementation of a traction control algorithm on a scaled roller rig. Veh Syst Dyn, 2013 51 4 517-541
|
| [11] |
Onat A Voltr P. Velocity measurement-based friction estimation for railway vehicles running on adhesion limit: swarm intelligence-based multiple models approach. J Intell Transp Syst Technol Plan Oper, 2020 24 1 93-107
|
| [12] |
Zhao Y Liang B Iwnicki S. Friction coefficient estimation using an unscented Kalman filter. Veh Syst Dyn, 2014 52 sup1 220-234
|
| [13] |
Zhai WM. Zhai W. Numerical method and computer simulation for analysis of vehicle-track coupled dynamics. Vehicle–track coupled dynamics, 2020 Singapore Springer 203-229
|
| [14] |
Xu L Zhai WM. A three-dimensional dynamic model for train-track interactions. Appl Math Model, 2019 76 443-465
|
| [15] |
Wu Q Sun Y Spiryagin M . Parallel co-simulation method for railway vehicle-track dynamics. J Comput Nonlinear Dyn, 2018 13 4 041004
|
| [16] |
Allotta B Conti R Meli E . Modeling and control of a full-scale roller-rig for the analysis of railway braking under degraded adhesion conditions. IEEE Trans Control Syst Technol, 2015 23 1 186-196
|
| [17] |
Bosso N Gugliotta A Somà A. Brebbia CA Tomii N Tzieropoulos P Mera JM. Design and simulation of railway vehicles braking operation using a scaled roller-rig. Computers in railways X, 2006 Southampton, UK WIT Press 869-883
|
| [18] |
Kang CG, Kim HY, Kim MS et al (2009) Real-time simulations of a railroad brake system using a dSPACE board. In: 2009 ICCAS-SICE, Fukuoka, Japan, pp 4073–4078
|
| [19] |
Wu Q Cole C Spiryagin M. Train braking simulation with wheel-rail adhesion model. Veh Syst Dyn, 2019
|
| [20] |
Onat A Voltr P. Particle swarm optimization based parametrization of adhesion and creep force models for simulation and modelling of railway vehicle systems with traction. Simul Model Pract Theory, 2020 99 102026
|
| [21] |
Park S Kim J Choi J . Modeling and control of adhesion force in railway rolling stocks. IEEE Control Syst Mag, 2008 28 5 44-58
|
| [22] |
Pugi L Malvezzi M Papini S . Design and preliminary validation of a tool for the simulation of train braking performance. J Mod Transp, 2013 21 4 247-257
|
| [23] |
Chen ZG Zhai WM Wang KY. Locomotive dynamic performance under traction/braking conditions considering effect of gear transmissions. Veh Syst Dyn, 2018 56 7 1097-1117
|
| [24] |
Bosso N Spiryagin M Gugliotta A . Mechatronic modeling of real-time wheel-rail contact, 2013 Berlin Springer
|
| [25] |
Spiryagin M Sun YQ Cole C . Development of a real-time bogie test rig model based on railway specialised multibody software. Veh Syst Dyn, 2013 51 2 236-250
|
| [26] |
Iwnicki S Spiryagin M Cole C . Handbook of railway vehicle dynamics, 2019 2 Boca Raton CRC Press
|
| [27] |
Shrestha S, Wu Q, Spiryagin M (2018) Wheel-rail contact modelling for real-time adhesion estimation systems with consideration of bogie dynamics. In: Li Z, Núñez A (eds) 11th international conference on contact mechanics and wear of rail/wheel systems, Delft, The Netherlands, pp 862–869
|
| [28] |
Zhang W Dai H Shen Z Rig R . Handbook of railway vehicle dynamics, 2006 Boca Raton CRC Press 458-504
|
| [29] |
Liu B Bruni S. Analysis of wheel-roller contact and comparison with the wheel-rail case. Urban Rail Transit, 2015 1 4 215-226
|
| [31] |
Spiryagin M, Nielsen D, Wu W et al (2018) Advanced friction measurement and their application for locomotive traction-track damage studies. In: CORE 2018: conference on railway excellence, Railway Technical Society of Australasia (RTSA); Technical Society of Engineers Australia, Sydney, Australia
|
| [32] |
AB DEsolver (n.d.) Users manual for program runf_info: the gensys homepag. http://www.gensys.se/doc_html/misc_runf_info.html. Accessed 28 May 2018
|
| [33] |
DEsolver (n.d.) Debugging a vehicle model: the gensys homepage. http://www.gensys.se/doc_html/analyse_check.html#Mainmenu. Accessed 26 May 2018
|
| [34] |
Spiryagin M, George A, Ahmad SSN et al (2012) Wagon model acceptance procedure using Australian standards. In: conference on railway engineering, CORE2012, Brisbane, Australia
|
| [35] |
Spiryagin M Cole C Sun YQ . Advanced simulation methodologies, design and simulation of rail vehicles, 2014 Boca Raton CRC Press 277-311
|
| [36] |
Belanger J, Venne P, Paquin JN (2010) The what, where and why of real-time simulation. http://sites.ieee.org/pes-resource-center/files/2013/10/11TP255E.pdf
|
| [37] |
AB DEsolver (n.d.) Users manual for program CALC. http://www.gensys.se/doc_html/calc.html. Accessed 19 Apr 2018
|
| [38] |
AB DEsolver (n.d.) Users manual for program KPF. http://www.gensys.se/doc_html/kpf.html. Accessed 3 Sept 2017
|
| [39] |
OpenMP Architecture Review Board (2018) OpenMP application programming interface. https://www.openmp.org/wp-content/uploads/OpenMP-API-Specification-5.0.pdf
|
Funding
Rail Manufacturing Cooperative Research Centre(R1.7.1)