Skip to main content
SpringerLink
Log in

Characteristic model-based all-coefficient adaptive control for automatic train control systems

  • Research Paper
  • Published:
Science China Information Sciences Aims and scope Submit manuscript

Abstract

Safe and reliable automatic train control is a primary consideration for any advanced rail transit system. This paper introduces the characteristic model-based modeling method into ATC system and develops an all-coefficient adaptive control. Two characteristic models, namely speed characteristic model and position characteristic model, are established for analyzing both train traction and cruising dynamical characteristics. Control strategies are proposed using single speed feedback and speed/position bi-feedback. Numerical simulations are carried out to verify the effectiveness of the proposed strategies, showing that control objective and required dynamic performance are well satisfied. Moreover, the system shows robustness against time-varying model uncertainties and unknown operational environment dynamics.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Dong H R, Ning B, Cai B G, et al. Automatic train control system development and simulation for high-speed railways. IEEE Circuit Syst Mag, 2010, 10: 6–18

    Article  Google Scholar 

  2. Gao S G, Dong H R, Chen Y, et al. Approximation-based robust adaptive automatic train control: an approach for actuator saturation. IEEE Trans Intell Transp Syst, 2013, 14: 1733–1742

    Article  Google Scholar 

  3. Golovitcher I. Energy efficient control of rail vehicles. Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, Tucson, 2001. 658–663

    Google Scholar 

  4. Liu R, Golovitcher I. Energy-efficient operation of rail vehicles. Transp Res Part A-Policy Pract, 2003, 37: 917–932

    Article  Google Scholar 

  5. Yang C, Sun Y. Mixed H 2/H ∞ cruise controller design for high speed train. Int J Contr, 2001, 74: 905–920

    Article  MATH  MathSciNet  Google Scholar 

  6. Astolfi A, Menini L. Input/output decoupling problems for high speed trains. In: Proceedings of the American Control Conference, Anchorage, 2002. 549–554

    Google Scholar 

  7. Chou M, Xia X, Kayser C. Modelling and model validation of heavy-haul trains equipped with electronically controlled pneumatic brake systems. Contr Eng Practice, 2007, 15: 501–509

    Article  Google Scholar 

  8. Zhuan X, Xia X. Speed regulation with measured output feedback in the control of heavy haul trains. Automatica, 2008, 44: 242–247

    Article  MATH  MathSciNet  Google Scholar 

  9. Zhuan X, Xia X. Fault-tolerant control of heavy-haul trains. Veh Syst Dyn, 2010, 48: 705–735

    Article  Google Scholar 

  10. Wu H X, Sa Z T. An all-coefficient adaptive control method. ACTA Automat Sin, 1985, 11: 12–20

    MATH  Google Scholar 

  11. Zhong G M, Li Z M, Yan Y M. All-coefficient adaptive control for beer ferment (in Chinese). ACTA Automat Sin, 1987, 13: 441–444

    Google Scholar 

  12. Shen S P. Application of characteristic model method in TDRS pointing control (in Chinese). Comput Simul, 2008, 25: 50–53

    Google Scholar 

  13. Li H B, Sun Z Q, Min H B, et al. Fuzzy dynamic characteristic modeling and adaptive control of nonlinear systems and its application to hypersonic vehicles. Sci China Inf Sci, 2011, 54: 360–468

    Article  MathSciNet  Google Scholar 

  14. Gao S G, Dong H R, Qi S H, et al. Characteristic model-based golden section adaptive control for high-speed train. In: Proceedings of 31st Chinese Control Conference, Hefei, 2012. 7326–7331

    Google Scholar 

  15. Rao Z. Train Traction Calculation. Beijing: China Railway Publishing House, 2010

    Google Scholar 

  16. Dong H R, Gao B, Ning B, et al. Fuzzy-PID soft switching speed control of automatic train operation system. Contr Decis, 2010, 25: 794–796

    Google Scholar 

  17. Zhang X Q. Train Power Drive and Control. Chengdu: Southwest Jiaotong University Press, 2010

    Google Scholar 

  18. Wu H X, Hu J, Xie Y C. Intelligent Adaptive Control Based on Characteristic Model. Beijing: Chinese Science and Technology Press, 2009

    Google Scholar 

  19. Meng B, Wu H X, Lin Z L, et al. Characteristic model based control of the X-34 reusable launch vehicle in its climbing phase. Sci China Ser F-Inf Sci, 2009, 52: 2216–2225

    MATH  Google Scholar 

  20. Zhang G Q, Wu H X. All-coefficient adaptive control method for a class of nonlinear time variant system (in Chinese). Sci Sin Inf, 2009, 39: 1072–1079

    Google Scholar 

  21. Luo X, Li J. Fuzzy dynamic characteristic model based attitude control of hypersonic vehicle in gliding phase. Sci China Inf Sci, 2011, 54: 448–459

    Article  MATH  MathSciNet  Google Scholar 

  22. Wu S T, Fei Y H. Flight Control System. Beijing: Beijing University of Aeronautics and Astronautics Press, 2005

    Google Scholar 

  23. Zhang Z, Hu J. Stability analysis of a hypersonic vehicle controlled by the characteristic model based adaptive controller. Sci China Inf Sci, 2012, 55: 2243–2256

    Article  MATH  MathSciNet  Google Scholar 

  24. Tang T, Huang L J. A survey of control algorithm for automatic train operation (in Chinese). J China Railway Soc, 2003, 25: 98–102

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    ShiGen Gao, HaiRong Dong & Bin Ning

Authors
  1. ShiGen Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. HaiRong Dong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bin Ning
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to HaiRong Dong.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, S., Dong, H. & Ning, B. Characteristic model-based all-coefficient adaptive control for automatic train control systems. Sci. China Inf. Sci. 57, 1–12 (2014). https://doi.org/10.1007/s11432-013-4937-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11432-013-4937-z

Keywords

Search

Navigation