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Maglev Trains pp 121-181 | Cite as

Maglev Train Control and Diagnosis Networks

Chapter
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Part of the Springer Tracts in Mechanical Engineering book series (STME)

Abstract

In this chapter, the onboard control and diagnosis networks of Maglev train are presented in detail. The structures of control and diagnosis networks in Maglev train are firstly introduced. In order to effectively design and develop the onboard diagnosis network, and optimize the diagnosis and control of Maglev train, the communication performance of onboard diagnosis network is simulated and discussed. Secondly, according to the latest technology of high-speed train communication networks, a new integrated communication network including control and diagnosis networks based on the CANOpen technology is proposed. In addition, the framework and function of the integrated network are discussed and designed. Thirdly, ADS (autonomous decentralized system) and RoADS (role automation decentralization) ideas are introduced into the design of the diagnosis and control networks of Maglev train, which can better meet the demands of Maglev train diagnosis and control and improve the reliability, real-time, and autonomous property of diagnosis and control systems. In the end, aiming at the real-time demand of onboard communication platform in Maglev train, the design of communication platform based on RTLinux is realized, and the driver design for CPCI-CAN card is given in this chapter.

Keywords

Diagnosis System Communication Platform Fault Information Device Group Maglev Train 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Wang JS, Wang SY, Zheng J. Recent development of high temperature superconducting Maglev system in China [J]. IEEE Trans Appl Supercond. 2009;19(3):2142–7.CrossRefGoogle Scholar
  2. 2.
    Yang LG. The maglev development and commercial application in China [J]. IEEE Trans Appl Supercond. 2006;16(2):1138–41.CrossRefGoogle Scholar
  3. 3.
    Nuria DV, Alvaro S, Carles N, et al. Towards an optimized magnet-superconductor configuration in actual maglev devices [J]. IEEE Trans Appl Supercond. 2011;21(3):1469–72.CrossRefGoogle Scholar
  4. 4.
    Jiang H, Lian J. The development and review of Maglev train in the world [J]. J China Railw Soc. 1991;13(2):88–93 (in Chinese).MathSciNetGoogle Scholar
  5. 5.
    Wu X. Maglev train [M]. Shanghai: Shanghai Science and Technology Press; 2003 (in Chinese).Google Scholar
  6. 6.
    Long ZQ, Liu SS, Li CK. The research about communication network of Maglev train based on CAN bus [J]. Electr Drive. 2001;2:44–7 (in Chinese).Google Scholar
  7. 7.
    Liu ZG. The design of diagnosis system in Maglev train [J]. IEICE Trans Inf Syst. 2005;88(12):2708–14.CrossRefGoogle Scholar
  8. 8.
    Liu ZG, Wang Q, Tan YD. The study of maglev train control and diagnosis networks based on role automation decentralization [J]. IEICE Trans Inf Syst. 2008;91(9):2285–92.CrossRefGoogle Scholar
  9. 9.
    Yang XH. Field bus technologies and applications [M]. Beijing: Tsinghua University Press; 2003 (in Chinese).Google Scholar
  10. 10.
    ISO 11898, Road vehicles-interchange of digital information-controller area Network for high speed communication ISO [S].Google Scholar
  11. 11.
    Ni WJ, Su AJ, Guo QY. On-board information acquisition and diagnostic system for Maglev vehicle based on CAN-Bus [J]. Electr Drive Locomot. 2006;10(6):25–8 (in Chinese).Google Scholar
  12. 12.
    Hu G, Liu ZG, Bo GF. Simulation of high-speed maglev on-board diagnosis system [J]. Urban Mass Transit. 2011;14(1):52–5 (in Chinese).Google Scholar
  13. 13.
    Salah K, Calyamb P, Buharic MI. Assessing readiness of IP networks to support desktop videoconferencing using OPNET [J]. J Netw Comput Appl. 2008;31(4):921–43.CrossRefGoogle Scholar
  14. 14.
    Hao J, Wu JC, Guo CY. Modeling and simulation of CAN network based on OPNET [C]. In: IEEE 3rd international conference on communication software and networks. Xi’an; 2011. p. 577–81.Google Scholar
  15. 15.
    Liu ZG, Hou YC, Fu WJ. Communication simulation of on-board diagnosis network in high-speed Maglev trains [J]. J Mod Transp. 2011;19(4):240–6.CrossRefGoogle Scholar
  16. 16.
    Kirrmann HD, Claessen U. The IEC train communication network [J]. Electr Drive Locomot. 1999;3:4–9 (in Chinese).Google Scholar
  17. 17.
    IEC61375-1. Part1: Train communication networks [S]. 1999.Google Scholar
  18. 18.
    BOSCH CAN Specification version 2.0[R]. Robert Bosch GmbH. 1993.Google Scholar
  19. 19.
    Boterenbrood H. CANopen high-level protocol for CAN-bus [M]. Amsterdam: NIKEF; Version 3.0, 2000.Google Scholar
  20. 20.
    CiA Draft Standard 301, CANopen Application layer and communication profile [S]. Version 4.02,2002.2Google Scholar
  21. 21.
    Mohammad Farsi, Karl Ratcliff. An introduction to CANopen and CANopen communication issues [J]. CANopen implementation (Digest no. 1997/384), IEE Colloquium on 6 Oct. 1997:2/1–2/6.Google Scholar
  22. 22.
    Ng JKY, Liu JWS. The performance of local area network protocols for hard real-time applications [C]. In: Proceedings of the 11th international conference on distributed computing systems. Los Alamitos: IEEE Press; 1991. p. 318–26Google Scholar
  23. 23.
    Mohammed FA, Ayad NMA, Esmat H, et al. The performance analysis of access media protocols in local networks [C]. In: Proceedings of IEEE symposium on computers and communications. Los Alamitos: IEEE Press; 1997. p. 249–53.Google Scholar
  24. 24.
    Kinji Mori. Autonomous decentralized system: concept, data field architecture and future trends [C]. In: Proceedings of ISADS 93. Kawasaki: IEEE; 1993.Google Scholar
  25. 25.
    Kinji Mori. Trend of autonomous decentralized systems [C]. In: Proceedings of the 10th IEEE international workshop on future trends of distributed computing systems. Suzhou, China, 26–28 May 2004.Google Scholar
  26. 26.
    Tan Y, Qian Q. Concept and architecture of role autonomous decentralized system [J]. China Railw Sci. 2007;28(1):99–105 (in Chinese).Google Scholar
  27. 27.
    Tan Y. Study on dynamic evolution of autonomous decentralized systems [D]. Doctor dissertation of Southwest Jiaotong University; 2007 (in Chinese).Google Scholar
  28. 28.
    Bbarabanov M. A Linux based real time operating system [D]. New Mexico: New Mexico Institute of Technology; 1997.Google Scholar
  29. 29.
    Zhigang Liu, Zhiwei Han, Quanwei Peng, Zhiguo Zhou. Design and realization of on board communication platform for high-speed Maglev train based on RTLinux [J]. J Southwest Jiaotong Univ. 2010;45(6):830–5.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Southwest Jiaotong UniversityChengduChina
  2. 2.National University of Defense TechnologyChangshaChina

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