×

Observer based traction/braking control design for high speed trains considering adhesion nonlinearity. (English) Zbl 1406.93139

Summary: Train traction/braking control, one of the key enabling technologies for automatic train operation, literally takes its action through adhesion force. However, adhesion coefficient of high speed train (HST) is uncertain in general because it varies with wheel-rail surface condition and running speed; thus, it is extremely difficult to be measured, which makes traction/braking control design and implementation of HSTs greatly challenging. In this work, force observers are applied to estimate the adhesion force or/and the resistance, based on which simple traction/braking control schemes are established under the consideration of actual wheel-rail adhesion condition. It is shown that the proposed controllers have simple structure and can be easily implemented from real applications. Numerical simulation also validates the effectiveness of the proposed control scheme.

MSC:

93C20 Control/observation systems governed by partial differential equations
93B51 Design techniques (robust design, computer-aided design, etc.)
93C95 Application models in control theory
PDF BibTeX XML Cite
Full Text: DOI

References:

[1] Howlett, P. G., The optimal control of a train, Annals of Operations Research, 98, 65-87 (2000) · Zbl 0977.49026
[2] Zhuan, X.; Xia, X., Optimal scheduling and control of heavy haul trains equipped with electronically controlled pneumatic braking systems, IEEE Transactions on Control Systems Technology, 15, 6, 1159-1166 (2007)
[3] Chou, M.; Xia, X., Optimal cruise control of heavy-haul trains equipped with electronically controlled pneumatic brake systems, Control Engineering Practice, 15, 5, 511-519 (2007)
[4] Yang, C.-D.; Sun, Y.-P., Mixed \(H_2 / H_\infty\) cruise controller design for high speed train, International Journal of Control, 74, 9, 905-920 (2001) · Zbl 1039.93020
[5] Song, Q.; Song, Y.-D.; Tang, T.; Ning, B., Computationally inexpensive tracking control of high-speed trains with traction/braking saturation, IEEE Transactions on Intelligent Transportation Systems, 12, 4, 1116-1125 (2011)
[6] Wang, W. D.; He, Q. Y., Dynamic problems in high-speed train systems, Mechanical Programming, 25, 1, 134-143 (1995)
[7] Tian, H., Study on the characteristics of train air resistance under wind environment, China Railway Science, 29, 5, 108-112 (2008)
[8] Kumarawadu, S.; Lee, T.-T., Neuroadaptive output tracking of fully autonomous road vehicles with an observer, IEEE Transactions on Intelligent Transportation Systems, 10, 2, 335-345 (2009)
[9] Song, Q.; Song, Y.-D., Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures, IEEE Transactions on Neural Networks, 22, 12, 2250-2261 (2011)
[10] Song, Q.; Song, Y. D.; Cai, W., Adaptive backstepping control of train systems with traction/braking dynamics and uncertain resistive forces, Vehicle System Dynamics, 49, 9, 1441-1454 (2011)
[11] Song, Y. D.; Song, Q.; Cai, W. C., Fault-tolerant adaptive control of high speed trains under traction/braking failures: a virtual parameter based approach, IEEE Transaction on Intelligent Transportation Systems (2013)
[12] Spiryagin, M.; Lee, K. S.; Yoo, H. H., Control system for maximum use of adhesive forces of a railway vehicle in a tractive mode, Mechanical Systems and Signal Processing, 22, 3, 709-720 (2008)
[13] Allotta, B.; Melin, E.; Ridolfi, A.; Rindi, A., Development of an innovative wheel-rail contact model for the analysis of degraded adhesion in railway systems, Tribology International, 69, 128-140 (2014)
[14] Tesfaye, A.; Lee, H. S.; Tomizuka, M., A sensitivity optimization approach to design of a disturbance observer in digital motion control systems, IEEE/ASME Transactions on Mechatronics, 5, 1, 32-38 (2000)
[15] Katsura, S.; Matsumoto, Y.; Ohnishi, K., Modeling of force sensing and validation of disturbance observer for force control, IEEE Transactions on Industrial Electronics, 54, 1, 530-538 (2007)
[16] Katsura, S.; Irie, K.; Ohishi, K., Wideband force control by position-acceleration integrated disturbance observer, IEEE Transactions on Industrial Electronics, 55, 4, 1699-1706 (2008)
[17] Wang, L.; Zhang, H.; Liu, X., Sliding mode variable structure I/O feedback linearization design for the speed control of PMSM with load torque observer, International Journal of Innovative Computing, Information and Control, 9, 8, 3485-3496 (2013)
[18] Zaidi, N.; Azza, H.; Jemli, M.; Boussak, M.; Chaari, A., DSP implementation of speed vector control for single-phase induction motor based on proportional sliding mode control law, International Journal of Innovative Computing, Information and Control, 9, 7, 2727-2740 (2013)
[19] Su, X.; Shi, P.; Wu, L.; Song, Y.-D., A novel control design on discrete-time takagi-sugeno fuzzy systems with time-varying delays, IEEE Transactions on Fuzzy Systems, 20, 6, 655-671 (2013)
[20] Wu, L.; Su, X.; Shi, P., Output feedback control of Markovian jump repeated scalar nonlinear systems, IEEE Transactions on Automatic Control, 59, 1, 199-204 (2014) · Zbl 1360.93754
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.