Subscribe Now Subscribe Today
Research Article

Research on Improving the Accuracy of Speed and Distance Measurement of Train by Redundant Convolution Fault-tolerant Analysis and Multiple Data Fusion

Gang Wang, Shu Li, Yungen Fang and Xiaoqing Zeng
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

In the current operation and control system of trains on the rail transit system, the accuracy of speed and distance measurement is not high and there is a large difference between the measured result and actual situation, because it is generally determined by the fixed adhesive force configured in the system, especially in the condition of idling in low-speed situations and the slipping when braking in high-speed situations. In this study, the redundant convolution fault-tolerant analysis was proposed for self-inspection of speed to identify whether the speed and distance measuring equipment is working normally and the safety redundancy structure of the coding odometer and radar was proposed to guarantee the reliability of speed and distance measurement. In this way, the accuracy of speed and distance measurement was improved and the safety of the train and the comfortableness of passengers was ensured. The proposed method was verified in the simulation environment.

Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

  How to cite this article:

Gang Wang, Shu Li, Yungen Fang and Xiaoqing Zeng, 2013. Research on Improving the Accuracy of Speed and Distance Measurement of Train by Redundant Convolution Fault-tolerant Analysis and Multiple Data Fusion. Journal of Applied Sciences, 13: 2300-2305.

DOI: 10.3923/jas.2013.2300.2305


1:  Babuska, R. and H.B. Verbruggen, 1996. An overview of fuzzy modeling for control. Control Eng. Practice, 4: 1593-1606.
Direct Link  |  

2:  Barrero, R., J. van Mierlo and X. Tackoen, 2008. Energy savings in public transport. IEEE Veh. Technol. Mag., 3: 26-36.
CrossRef  |  

3:  Chuang, H.J., C.S. Chen, C.H. Lin and C.H. Hsieh, 2008. Design of optimal coasting speed for mrt systems using ann models. Proceedings of the IEEE Industry Applications Society Annual Meeting, October 5-9, 2008, Edmonton, Canada, pp: 1-7.

4:  Ciccarelli, F., D. Iannuzzi and P. Tricoli, 2012. Control of metro-trains equipped with onboard supercapacitors for energy saving and reduction of power peak demand. Transp. Res. Part C., 24: 36-49.
CrossRef  |  

5:  Djeziri, M.A., B.O. Bouamama, R. Merzouki and G. Dauphin-Tanguy, 2009. Optimal sensor placement for fault diagnosis. Proceedings of the 2009 IEEE International Conference on Mechatronics, April 14-17, 2009, Malaga, Spain -.

6:  Nakache, F., 1984. Lille metro: Description of the val control system. Proceedings of the 34th IEEE Vehicular Technology Conference, May 21-23, 1984, New York, pp: 249-254.

7:  Yoshimoto, Y., K. Kataoka and K. Komaya, 2001. A feasibility study of train automatic stop control using range sensors. Proceedings of the IEEE Intelligent Transportation Systems, August 25-29, 2001, Oakland, CA., pp: 802-807.

8:  Richard, P.Y., H. Cormerais and J. Buisson, 2006. A generic design methodology for sliding mode control of switched systems. Nonlinear Anal.: Theory Methods Appl., 65: 1751-1772.
CrossRef  |  

9:  Larsen, T.D., K.L. Hansen, N.A. Andersen and O. Ravn, 1999. Design of Kalman filters for mobile robots; evaluation of the kinematic and odometric approach. Proceedings of the IEEE Conference on Control Applications, Volume 2, IEEE, August 22-27, 1999, Hawaii, pp: 1021-1026.

10:  Verhille, J.N., A. Bouscayrol, P.J. Barre, J.C. Mercieca, J.P. Hautier and E. Semail, 2004. Torque tracking strategy for antislip control in railway traction systems with common supplies. Proceedings of the IEEE Conference Record and 39th IAS Annual Meeting on Industry Applications Conference, October 3-7, 2004, Piscataway, New Jersey, pp: 2738-2745.

11:  Wang, H.P., C. Vasseur, V. Koncar, A. Chamroo and N. Christov, 2010. Modelling and trajectory tracking control of a 2-DOF vision based inverted pendulum. CEAI, 12: 59-66.

12:  Pintea, A., H.P. Wang, N. Christov, P.B. Borne, D. Popescu and A. Badea, 2011. Optimal control of variable speed wind turbines. Proceedings of the 19th Mediterranean Conference on Control and Automation, June 20-23, 2011, Corfu, pp: 838-843.

13:  Zhang, B., A. Kruszewski and J.P. Richard, 2011. Tracking improvement based on the proxy control scheme for bilateral teleoperation system under time-varying delays. Proceedings of the IEEE 16th Conference on Emerging Technologies and Factory Automation, Septrmber 5-9, 2011, Toulouse, pp: 1-8.

14:  Zhu, W.X., J. Lei and L.Zhao, 2010. Modeling and simulation of traffic flow in work zone on highway. Proceedings of the 8th World Congress on Intelligent Control and Automation, July 7-9, 2010, Jinan, China, pp: 471-476.

©  2021 Science Alert. All Rights Reserved