Maglev Trains pp 121-181 | Cite as

Maglev Train Control and Diagnosis Networks

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


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.


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.


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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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