DOI QR코드

DOI QR Code

Estimation of longitudinal velocity noise for rail wheelset adhesion and error level

Soomro, Zulfiqar Ali

  • Received : 2015.12.30
  • Accepted : 2016.07.12
  • Published : 2016.07.25

Abstract

The longitudinal velocity (forward speed) having significant importance in proper running of railway wheelset on track, depends greatly upon the adhesion ratio and creep analysis by implementation of suitable dynamic system on contamination. The wet track condition causes slip and slide of vehicle on railway tracking, whereas high speed may also increase slip and skidding to severe wear and deterioration of mechanical parts. The basic aim of this research is to design appropriate model aimed estimator that can be used to control railway vehicle forward velocity to avoid slip. For the filtration of disturbance procured during running of vehicle, the kalman filter is applied to estimate the actual signal on preferered samples of creep co-efficient for observing the applied attitude of noise. Thus error level is detected on higher and lower co-efficient of creep to analyze adhesion to avoid slip and sliding. The skidding is usually occurred due to higher forward speed owing to procured disturbance. This paper guides to minimize the noise and error based upon creep coefficient.

Keywords

longitudinal speed;adhesion;creep coefficient;kalman filter;tractive force

References

  1. Allotta, B., Conti, R., Meli, E. and Ridolfi, A. (2015), "Modeling and control of a full-scale roller-rig for the analysis of railway braking under degraded adhesion conditions", Proceedings of the IEEE Transactions on Control Systems Technology, 23(1), 186-196.
  2. Charles, G. and Goodall, R. (2006), "Low adhesion estimation", In Railway Condition Monitoring, Proceedings of the Institution of Engineering and Technology, 96-101.
  3. Charles, G., Goodall, R. and Dixon, R. (2008), "Model-based condition monitoring at the wheel-rail interface", Vehicle Syst. Dyn., 46(S1), 415-430. https://doi.org/10.1080/00423110801979259
  4. Conti, R., Meli, E., Ridolfi, A. and Rindi, A. (2014), "An innovative hardware in the loop architecture for the analysis of railway braking under degraded adhesion conditions through roller-rigs", Mechatronics, 24(2), 139-150. https://doi.org/10.1016/j.mechatronics.2013.12.011
  5. Goodall, R. and Li, H. (2000), "Solid axle and independently-rotating railway wheelsets-a control engineering assessment of stability", Vehicle Syst. Dyn., 33(1), 57-67. https://doi.org/10.1076/0042-3114(200001)33:1;1-5;FT057
  6. Goodall, R. and Mei, T.X. (2001), "Mechatronic strategies for controlling railway wheelsets with independently rotating wheels". Proceedings of the Advanced Intelligent Mechatronics, 1, 225-230.
  7. Guo, Y., Yu, Z., Shi, H. and Zhu, L. (2014), "The estimation approach of rail thermal stress based on vehicle-track dynamic responses", Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 840-846.
  8. Hata, T., Hirose, H., Kadowaki, S., Ohishi, K., Iida, N., Takagi, M. and Yasukawa, S. (2003), "Anti-slip readhesion control based on speed sensor-less vector control and disturbance observer for electric multiple units, series 205-5000 of East Japan Railway Company", Proceedings of the Industrial Technology, 2, 772-777.
  9. Hsu, Y.H.J., Laws, S.M. and Gerdes, J.C. (2010), "Estimation of tire slip angle and friction limits using steering torque", Proceedings of the IEEE Transactions on Control Systems Technology, 18(4), 896-907.
  10. Kim, H.Y., Lee, N.J., Lee, D.C. and Kang, C.G. (2014), "Hardware-in-the-loop simulation for a wheel slide protection system of a railway train", IFAC Proceedings, 47(3), 12134-12139. https://doi.org/10.3182/20140824-6-ZA-1003.02106
  11. Liao, W., Chen, H., Cai, W. and Song, Y. (2014), "A novel active adhesion control design for high speed trains without vehicle speed measurement", Proceedings of the 33rd Control Conference (CCC), 221-226.
  12. Lu, K., Song, Y. and Cai, W. (2014), "Robust adaptive re-adhesion control for high speed trains", Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 1215-1220.
  13. Malvezzi, M., Pugi, L., Papini, S., Rindi, A. and Toni, P. (2012), "Identification of a wheel--rail adhesion coefficient from experimental data during braking tests", Proceedings of the Institution of Mechanical Engineers, Part F: J. Rail Rapid Transit, 0954409712458490.
  14. Malvezzi, M., Vettori, G., Allotta, B., Pugi, L., Ridolfi, A. and Rindi, A. (2014), "A localization algorithm for railway vehicles based on sensor fusion between tachometers and inertial measurement units", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 228(4), 431-448. https://doi.org/10.1177/0954409713481769
  15. Mei, T.X. and Goodall, R.M. (2003), "Practical strategies for controlling railway wheelsets independently rotating wheels", J. Dyn. Syst. Measurement, Ctrl., 125(3), 354-360. https://doi.org/10.1115/1.1592191
  16. Meli, E., Ridolfi, A. and Rindi, A. (2014), "An innovative degraded adhesion model for railway vehicles: development and experimental validation", Meccanica, 49(4), 919-937. https://doi.org/10.1007/s11012-013-9839-z
  17. Mirabadi, A. and Khodadadi, A. (2009), "Slip and slide detection and compensation for odometery system, using adaptive fuzzy Kalman Filter", Sensor Lett., 7(1), 84-90. https://doi.org/10.1166/sl.2009.1014
  18. Ohishi, K., Kadowaki, S., Smizu, Y., Sano, T., Yasukawa, S. and Koseki, T. (2006), "Anti-slip readhesion control of electric commuter train based on disturbance observer considering bogie dynamics", Proceedings of the IECON 2006-32nd Annual Conference on IEEE Industrial Electronics, 5270-5275.
  19. Polach, O. (2005), "Creep forces in simulations of traction vehicles running on adhesion limit", Wear, 258(7), 992-1000. https://doi.org/10.1016/j.wear.2004.03.046
  20. Pugi, L., Malvezzi, M., Tarasconi, A., Palazzolo, A., Cocci, G. and Violani, M. (2006), "HIL simulation of WSP systems on MI-6 test rig", Vehicle Syst. Dyn., 44(sup1), 843-852. https://doi.org/10.1080/00423110600886937
  21. Radionov, I.A. and Mushenko, A.S. (2015), "The method of estimation of adhesion at "wheel-railway" contact point", Proceedings of the Control and Communications (SIBCON), 2015 International Siberian Conference on, 1-5.
  22. Shimizu, Y., Ohishi, K., Sano, T., Yasukawa, S. and Koseki, T. (2007), "Anti-slip re-adhesion control based on disturbance observer considering bogie vibration", Proceedings of the Power Electronics and Applications, 1-10.
  23. Shumway, R.H. and Stofer, D.S. (2004), Time series analysis and its applications, New York: Springer-Verlag.
  24. Soomro, Z.A. (2014), "Adhesion detection analysis by modeling rail wheel set dynamics under the assumption of constant creep coefficient", J. Mech., Electr. Power Vehicular Tech., 5(2), 99-106. https://doi.org/10.14203/j.mev.2014.v5.99-106
  25. Soomro, Z.A. (2014), "Analysis for kinematic modeling linearized railway wheelset dynamics", Int. J. Adv. Eng. Sci., 4(4), 1-6.
  26. Zarchan, P. and Musof, H. (2000), "Fundamentals of Kalman fltering: A practical approach. Progress in Astronautics and Aeronautics", Virginia: American Institute of Aeronautics and Astronautics, Inc.