Modeling and Simulation of Anti-Skid Control System of Railway Vehicle in Curved Track
Year 2020,
, 158 - 165, 20.12.2020
Pacifique Turabımana
,
Kazima Sosthene
,
Josee Musabyımana
Abstract
The slipping of railway vehicle wheels during curve negotiation has been always a major problem in the railway transportation. One of the causes of these slippages is predicted to be the lack of proper curve radius which incites high creepages. The creepages cause override of proper wheel rail interaction while negotiating a curve. Before the days of modern automatic control systems, the skills of a driver set the braking deceleration and speed limits for proper curve negotiation. In case of a light rail transit system, with condensed population, there is a huge demand of transporting increased number of people. The increased train weight is again expected to have additional effects on the wheelset slipping when negotiating the curve and braking on a gradient curvature. Braking control method should be used to limit the creeppages before the train starts skidding.
The aim of this paper is to model the anti-skid control of a train in curved track in two instances: when the train is braking on a gradient curve and when the train is negotiating a curved track. To achieve this objective, the lateral dynamics equations of motion of the wheelset are solved to predict the yaw angle and lateral displacements as well as their velocities. These quantities are used to calculate the creepages and creep forces. In return, they are input to the control model to limit the skidding. Computer simulation using MATLAB/Simulink is carried out to assess the feasibility of the control method. The results will be used to design proper control systems that the rail network in congested environment are able to use. Antiskid control offers other benefits such as increasing the lateral comfort by reduced lateral forces and limiting noise generated by skidding.
Supporting Institution
University of Rwanda/ College of Science and Technology
References
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- Yang, L., Kang, Y., Luo, S., & Fu, M. (2015). Assessment of the curving performance of heavy haul trains under braking conditions. Journal of Modern Transportation, 23(3), 169-175.
- Kim, M.S, Park, J.H., You, W.H. (2008). Construction of Active Steering System of the Scaled Railway Vehicle. International Journal Of Systems Applications,Engineering & Development, 2(4): 217-226.
- Nejlaoui, M., Houidi, A., Affi, Z., & Romdhane, L. (2012). A Critical Speed Optimization of Rail Vehicle System Based on Safety Criterion. In Condition Monitoring of Machinery in Non-Stationary Operations (pp. 201-211). Springer, Berlin, Heidelberg.
- Sahin, M., & Samim Unlusoy, Y. (2010). Design and simulation of an ABS for an integrated active safety system for road vehicles. International journal of vehicle design, 52(1-4), 64-81.
- Soomro, Z. A. (2015). Correlation of Lateral and yaw analysis responses to tracking of linearlized rail wheelset model. Journal of Mechanical Engineering and Technology (JMET), 7(1).
- Mei, T. X., Yu, J. H., & Wilson, D. A. (2008). A mechatronic approach for anti-slip control in railway traction. IFAC Proceedings Volumes, 41(2), 8275-8280.Tanelli, S. M. (2010). Active braking control systems design for vehicles. Springer Science & Business Media, 2.
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Year 2020,
, 158 - 165, 20.12.2020
Pacifique Turabımana
,
Kazima Sosthene
,
Josee Musabyımana
References
- Ahmad, F., Hudha, K. Rivai. A., Zakaria, MMN (2008). Modeling and validation of vehicle dynamic performance in longitudinal direction. International Journal of Vehicle System Modelling and Testing, 5(4), 312-346.
- Tudor, A., Sandu, N., Tountas, E. (2009). Wheel/rail friction power in curved track. U.P.B. Sci. Bull., Series D, 71(3): 75-88.
- B. Allotta, L. P. (25-29 May, 2010). Mutual interaction of parrallel connected induction motors on degraded adhesion conditions. The first joint international conference on multibody system dynamics (p. 4). Lappeenranta: Lappeenranta, Finiland.
- Uyulan, C., Gokasan, M., Bogosyan, S. (2017). Modeling, simulation and slip control of a railway vehicle integrated with traction power supply. Cogent Engineering, 4(1), 1312680.
- Choi, J. J., Park, S. H., Kim, J. S. (2007). Dynamic adhesion model and adaptive sliding mode brake control system for the railway rolling stocks. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 221(3), 313-320.
- Dukkipati, V. G. (1984). Dynamics of Railway Vehicle. Toronto: Toronto Orlando San Diego New York.
- Hur, M.-S. K.-M. (2014). Braking/Traction Control Systems of a Scaled Railway Vehicle. Proceedings of the 9th WSEAS International Conference on Robotics, Control and Manufacturing Technology, 1.
- Hur, M.-S. K.-M. (2017). Braking/Traction Control Systems of a Scaled Railway Vehicle for the Active Steering Testbed. Proceedings of the 9th WSEAS International Conference on Robotics, Control and Manufacturing Technology (pp. 74-79). 360-1 Woram-dong, Uiwang-si, Kyonggi-do KOREA: http://www.krri.re.kr.
- Srivastava, J. P., Sarkar, P. K., & Ranjan, V. (2013, December). An approximate analysis for Hertzian elliptical wheel-rail contact problem. In Proceedings of the 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM2013) (pp. 249-253).
- Park, J. H., Koh, H. I., Hur, H. M., Kim, M. S., & You, W. H. (2010). Design and analysis of an active steering bogie for urban trains. Journal of Mechanical Science and Technology, 24(6), 1353-1362.
- Wang, K., Huang, C., Zhai, W., Liu, P., & Wang, S. (2014). Progress on wheel-rail dynamic performance of railway curve negotiation. Journal of traffic and transportation engineering (English edition), 1(3), 209-220.
- Kondo, K. (2012). Anti-slip control technologies for the railway vehicle traction. IEEE Vehicle Power and Propulsion Cconference (pp. 255-261). Seoul Olympic Parket: www.psma.com.
- Yang, L., Kang, Y., Luo, S., & Fu, M. (2015). Assessment of the curving performance of heavy haul trains under braking conditions. Journal of Modern Transportation, 23(3), 169-175.
- Kim, M.S, Park, J.H., You, W.H. (2008). Construction of Active Steering System of the Scaled Railway Vehicle. International Journal Of Systems Applications,Engineering & Development, 2(4): 217-226.
- Nejlaoui, M., Houidi, A., Affi, Z., & Romdhane, L. (2012). A Critical Speed Optimization of Rail Vehicle System Based on Safety Criterion. In Condition Monitoring of Machinery in Non-Stationary Operations (pp. 201-211). Springer, Berlin, Heidelberg.
- Sahin, M., & Samim Unlusoy, Y. (2010). Design and simulation of an ABS for an integrated active safety system for road vehicles. International journal of vehicle design, 52(1-4), 64-81.
- Soomro, Z. A. (2015). Correlation of Lateral and yaw analysis responses to tracking of linearlized rail wheelset model. Journal of Mechanical Engineering and Technology (JMET), 7(1).
- Mei, T. X., Yu, J. H., & Wilson, D. A. (2008). A mechatronic approach for anti-slip control in railway traction. IFAC Proceedings Volumes, 41(2), 8275-8280.Tanelli, S. M. (2010). Active braking control systems design for vehicles. Springer Science & Business Media, 2.
- Wenliang Zhu1, a. F. (2016). Modeling and Anti-skid Control of the Rail Vehicle Braking System. 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2016) (pp. 582-590). Shanghai, China: Atlantis Press.
- Wickens., A. (2005). Fundamentals of rail vehicle dynamics : guidance and stability. Lisse, The Netherlands: Swets & Zeitlinger.
- Zhang Xiu-qin, Y. B.-n. (2012). ABS of Multi-axle Truck Based on ADMS/Car and Matlab/Simulink. SciVerse Science Direct Procedia Engineering, 120-124.