|Table of Contents|

Petri net model of maglev train running across different control systems(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2012年02期
Page:
112-118
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Petri net model of maglev train running across different control systems
Author(s):
ZHENG Wei
National Engineering Center of the Rail Transport Operation Control System, Beijing Jiaotong University,Beijing 100044,China
Keywords:
traffic control;  maglev train;  running across boundary;  Petri net;  system theory;  hierarchical model;  reliability
PACS:
U266.4
DOI:
-
Abstract:
The general framework of running control system on maglev train was studied according to the running requirements of maglev train running across different control systems.Functional subsystems need to be added was defined.The hierarchical models of system key attributes,maglev operation procedures and the subsystem function were built based on the system theory by using Petri net.The key attributes of whole system were described by the highest model,and the operation procedures of maglev train and the reliabilities of subsystems were presented in the lower level model.The relationship between the failure rates of maglev train running across different control systems and the reliabilities of subsystem components was quantitatively analyzed with the model.It is pointed that the loss ratio of network connecting neibouring control systems should be lower than 10-6 times per hour when the required failure number of maglev train running across different systems is no more than 1 time per year.The failure rates of maglev train running across different control systems are 1.95×10-5 and 1.65×10-5 times per hour when the triggering times equal 0.2 and 2.0 min respectively,and the stepping times equal 4 and 16 min respectively.Simulation result shows that the failure rates of train running across the boundary decrease when the reliabilities of a and b networks are improved,or the triggering time and stepping time of train are prolonged.The reliability requirements of subsystem components based on the required key attributes of system level are quantantatively identified by using the proposed approach.9 figs,14 refs.

References:

[1] 杨 光,唐祯敏.几种典型轨道交通运行控制系统的比较研究[J].铁道学报,2009,31(1):82-87. YANG Guang, TANG Zhen-min. Analysis of similarities and differences of operation control systems among several typical modes of rail traffic[J]. Journal of the China Railway Society, 2009, 31(1):82-87.(in Chinese)
[2] HOSSEINI M S, VAEZ-ZADEH S. Modeling and analysis of linear synchronous motors in high-speed maglev vehicles[J]. IEEE Transactions on Magnetics, 2010, 46(7): 2656-2664.
[3] CHEN M Y, WANG M J, FU L C. Modeling and controller design of a maglev guiding system for application in precision positioning[J]. IEEE Transactions on Industrial Electronics, 2003, 50(3): 493-506.
[4] 杨 光,唐祯敏.高速磁悬浮列车运行控制系统体系结构研究[J].中国铁道科学,2006,27(6):68-72. YANG Guang, TANG Zhen-min. Study on the operation control system framework for high-speed maglev train[J]. China Railway Science, 2006, 27(6): 68-72.(in Chinese)
[5] 张 明.基于UML的高速磁悬浮列车分区运行控制系统建模[D].北京:北京交通大学,2007.ZHANG Ming. Modeling of high-speed maglev train decentralized control system with UML[D]. Beijing: Beijing Jiaotong University, 2007.(in Chinese)
[6] 杨 光,唐祯敏.高速磁悬浮列车的安全速度防护问题研究[J].北京交通大学学报,2007,31(2):38-42. YANG Guang, TANG Zhen-min. Study on safety speed protection of the high-speed maglev train[J]. Journal of Beijing Jiaotong University, 2007, 31(2): 38-42.(in Chinese)
[7] VON BERTALANFFY L. The histroy and status of general systems theory [J]. The Academy of Management Journal, 1972, 15(4): 407-426.
[8] LEVESON N. A new accident model for engineering safer systems [J]. Safety Science, 2004, 42(4): 237-270.
[9] VERNEZ D, BUCHS D R, PIERREHUMBERT G E, et al. MORM—a Petri net based model for assessing OH&S risks in industrial processes: modelling qualitative aspects[J]. Risk Analysis, 2004, 24(6): 1719-1735.
[10] ZHENG Wei. Modeling and hazard analysis of railway station protection system based on stochastic Petri nets[C]∥IEEE. The Proceeding of 2009 8th International Conference on Reliability, Maintainability and Safety. Chengdu: IEEE, 2009: 493-496.
[11] ZHENG Wei, MUELLER J R, SLOVAK R, et al. Function modelling and risk analysis of automated level crossing based on national statistical data[C]∥IEEE. The 2nd International Asia Conference on Informatics in Control, Automation and Robotics. Wuhan: IEEE, 2010: 281-284.
[12] 林 闯,郑 波.含有非马尔可夫过程的排队Petri网模型和性能分析[J].电子学报,2003,31(2):166-170. LIN Chuang, ZHENG Bo. A model of queuing Petri net including non-Markovian process and performance analysis[J]. Acta Electronica Sinica, 2003, 31(2): 166-170.(in Chinese)
[13] 林 闯,曲 扬,郑 波,等.一种随机Petri网性能等价化简与分析方法[J].电子学报,2002,30(11):1620-1623. LIN Chuang, QU Yang, ZHENG Bo, et al. An approach to performance equivalent simplification and analysis of stochastic Petri nets[J]. Acta Electronica Sinica, 2002, 30(11): 1620-1623.(in Chinese)
[14] 李志纯,朱道立.随机动态交通网络可靠度分析与评价[J].交通运输工程学报,2008,8(1):106-112. LI Zhi-chun, ZHU Dao-li. Analysis and evaluation of reliability for stochastic and dynamic transport network[J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 106-112.(in Chinese)

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Last Update: 2012-04-30