Abstract
High precision speed and position tracking control is important to ensure safe and reliable operation of high speed train. This paper presents a solution to achieve fault-tolerant control of train consisting of multiple vehicles with distributed traction and braking systems. A multiple point-mass model coupled with uncertain resistive forces (i.e. aerodynamic resistance, mechanical resistance, transient impacts, etc.) is utilized for control design and stability analysis. Traction and braking faults in the form of tracking power loss and/or braking capability loss are explicitly considered. To cope with the resultant dynamic model that contains actuator faults, uncertain in-train forces as well as resistive disturbances, a fuzzy-adaptive fault-tolerant control method is proposed. The salient feature of the developed control scheme lies in its independence of the precise dynamic model of the train. More specifically, there is no need for system parameter estimation, no need for fault detection and diagnosis, and no need for in-train force and resistive force estimation or approximation in designing and implementing the control scheme. The stable control algorithm is derived based on Lyapunov stability theory. Its effectiveness is confirmed with simulation verification.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Song, Q., Song, Y.D.: Robust and adaptive control of high speed train systems. In: The 22th Chinese Control and Decision Conference, Xuzhou, China (May 2010)
Song, Q., Song, Y.D.: Adaptive control and optimal power/brake distribution of high speed trains with uncertain nonlinear couplers. In: Proceedings of the 29th Chinese Control Conference, Beijing, China (July 2010)
Fan, L.L., Song, Y.D.: On Fault-tolerant Control of Dynamic Systems with Actuator Failures and External Disturbances. Acta Automatica Sinica 36(11), 1620–1625 (2010)
Labiod, S., Boucherit, M.S.: Indirect fuzzy adaptive control of a class of SISO nonlinear system. The Arabian Journal for Science and Engineering 31(1B)
Liangji, H., Tao, T.: The analysis and design of the subway train’s ATO system. Journal of Northern Jiaotong University 26(3) (June 2002)
Jie, G., Wenping, Z.: Investigation of Dynamic Modeling Method of Valve Train. In: 2nd International Conference on Mechanical and Electronics Engineering (2010)
Yang, C., Sun, Y.: Robust cruise control of high speed train with hardening/softening nonlinear coupler. In: Proc. American Control Conference, pp. 2200–2204 (1999)
Han, H., Su, C.-Y., Stepanenko, Y.: Adaptive control of a class of nonlinear system with nonlinearly parameterized fuzzy approximators. IEEE Transaction On Fuzzy Systems 9(2) (April 2001)
He, X., Tong, S., Zhang, W.: Fuzzy Adaptive Robust Fault-Tolerant Control for Uncertain Nonlinear Systems Based on Small-Gain Approach. In: Chinese Control and Decision Conference (2009)
Li, Y., Tong, S.: Adaptive Fuzzy Fault-Tolerant Control for Uncertain Nonlinear Systems. In: The 3rd International Conference on Innovative Computing Information and Control (2008)
Li, P., Yang, G.-H.: Adaptive Fuzzy Control of Unknown Nonlinear Systems with Actuator Failures for Robust Output Tracking. In: American Control Conference, Westin Seattle Hotel, Seattle, Washington, USA, June 11-13 (2008)
Hu, J.-m., Wang, Y.-h., Wang, X.: Fuzzy adaptive control for a class of nonlinear systems. In: Chinese Control and Decision Conference (2009)
Eryurek, E., Upadhyaya, B.R.: Fault-Tolerant Control and Diagnostics for Large-Scale systems. IEEE Control Systems (2005)
Guan, Y., Zhang, Y., Chen, X.: Application of Robust Fault-tolerant Control in Satellite Attitude control system. In: 3rd International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA), June 8-10 (2010)
Hojati, M., Gazor, S.: Hybrid Adaptive Fuzzy Identification and Control of Nonlinear Systems. IEEE Transaction on Fuzzy Systems 10(2) (April 2002)
Wang, G.X.: Stable adaptive fuzzy control of nonlinear systems. IEEE Trans. Fuzzy System 1, 146–155 (1993)
Zhuan, X., Xia, X.: Optimal Scheduling and Control of Heavy Trains Equipped With Electronically Controlled Pneumatic Braking Systems. IEEE Transactions on Control Systems Technology 15(6), 1159–1166 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wang, M.R., Song, Y.D., Song, Q., Han, P. (2011). Fuzzy-Adaptive Fault-Tolerant Control of High Speed Train Considering Traction/Braking Faults and Nonlinear Resistive Forces. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_65
Download citation
DOI: https://doi.org/10.1007/978-3-642-21090-7_65
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21089-1
Online ISBN: 978-3-642-21090-7
eBook Packages: Computer ScienceComputer Science (R0)