基于HLA/RTI的CRH2动车组列车网络控制系统仿真
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摘要
我国铁路通过第六次大提速,整体提高了我国高铁技术水平,特别是在此过程中推出了CRH2系列的高速动车组,该型动车组由我国专家通过吸收先进技术和再创新后国产化的产物。目前在CRH2动车组列车网络控制系统的研究中,对于系统所涉及的某个单一功能结构模型的研究已经十分完善,如CRH2动车组列车上的制动系统研究、牵引计算研究、列车级网络仿真等,但是这些系统不能很好的切合,很难实现CRH2动车组列车网络控制系统的整体性能仿真,本论文采应用HLA高层体系结构按照面向对象的思想和方法来构建该仿真系统,解决了仿真系统中CRH2动车组列车诸多模型的可重用性和互操作性问题。
本论文以CRH2动车组列车网络控制系统作为主要研究对象,通过分析CRH2动车组网络系统系信息显示器的功能实现提取控制台模型来仿真列车指令控制和信息传输等功能；模拟动车组列车信息传输网络系统的网络传输功能建立仿真模型；选取CRH2动车组列车网络控制的诸多功能中的制动功能为研究重点,通过分析CRH2动车组列车的结构、控制装置和技术标准来建立合理化的制动系统模型。最终组成CRH2动车组列车网络最小控制系统。
通过分析HLA技术以及HLA的仿真应用系统的开发过程,从应用角度分析了CRH2动车组列车网络控制系统的体系结构,设计了该仿真联邦成员间订购与发布关系及仿真系统流程,最终搭建了基于HLA/RTI的CRH2动车组列车网络控制系统仿真平台,以期用于CRH2动车组列车网络控制系统的功能模型的理论研究和功能软件的应用开发。
Through the sixth speeding-up, China's railway technology level have an overall improvement, especially in the process of introducing a series of high-speed train CRH2, which are locally produced by our experts through assimilating advanced technology and innovation. At present during the research of the CRH2trains'information network control system, for a single function structure model the research is complete, such as braking system, traction calculation, train level simulation and so on, but these systems are not good to fit each other, it is difficult to realize overall simulation performance for the CRH2bullet train control system of the information network. This thesis applies HLA high level architecture in accordance with object-oriented ideas and methods to build the simulation system, by which we can solve the reusability and interoperability issues of models in the simulation system.
This type of power car train unit is manufactured after experts' assimilated foreign advanced technology and then re-created for localization. For certain functional structure mode, the related study is perfect. However, they could not fit in with each other very well it's difficult to achieve the system's overall simulation performance.Using HLA (High Level Architecture) in accordance with the object-oriented ideas and methods to construct the simulation system, many problems on reusability and interoperability of MU trains models in simulation system were solved.
Through analysis and based on HLA technology simulation application system development process, from the application perspective of CRH2bullet train information network control system structure, was able to designed the simulation between federate members and issues the relation with simulation system process. Finally, was able to set up a HLA/RTI CRH2bullet train information network control system simulation platform; in order to use for both the CRH2bullet train control system of information network function model of research study, and the function of software application development.
本论文以CRH2动车组列车网络控制系统作为主要研究对象,通过分析CRH2动车组网络系统系信息显示器的功能实现提取控制台模型来仿真列车指令控制和信息传输等功能；模拟动车组列车信息传输网络系统的网络传输功能建立仿真模型；选取CRH2动车组列车网络控制的诸多功能中的制动功能为研究重点,通过分析CRH2动车组列车的结构、控制装置和技术标准来建立合理化的制动系统模型。最终组成CRH2动车组列车网络最小控制系统。
通过分析HLA技术以及HLA的仿真应用系统的开发过程,从应用角度分析了CRH2动车组列车网络控制系统的体系结构,设计了该仿真联邦成员间订购与发布关系及仿真系统流程,最终搭建了基于HLA/RTI的CRH2动车组列车网络控制系统仿真平台,以期用于CRH2动车组列车网络控制系统的功能模型的理论研究和功能软件的应用开发。
Through the sixth speeding-up, China's railway technology level have an overall improvement, especially in the process of introducing a series of high-speed train CRH2, which are locally produced by our experts through assimilating advanced technology and innovation. At present during the research of the CRH2trains'information network control system, for a single function structure model the research is complete, such as braking system, traction calculation, train level simulation and so on, but these systems are not good to fit each other, it is difficult to realize overall simulation performance for the CRH2bullet train control system of the information network. This thesis applies HLA high level architecture in accordance with object-oriented ideas and methods to build the simulation system, by which we can solve the reusability and interoperability issues of models in the simulation system.
This type of power car train unit is manufactured after experts' assimilated foreign advanced technology and then re-created for localization. For certain functional structure mode, the related study is perfect. However, they could not fit in with each other very well it's difficult to achieve the system's overall simulation performance.Using HLA (High Level Architecture) in accordance with the object-oriented ideas and methods to construct the simulation system, many problems on reusability and interoperability of MU trains models in simulation system were solved.
Through analysis and based on HLA technology simulation application system development process, from the application perspective of CRH2bullet train information network control system structure, was able to designed the simulation between federate members and issues the relation with simulation system process. Finally, was able to set up a HLA/RTI CRH2bullet train information network control system simulation platform; in order to use for both the CRH2bullet train control system of information network function model of research study, and the function of software application development.
引文
[1]刘志军.实现我国铁路跨越式发展加快机车车辆技术装备现代化[J].机车电传动,2003,5.
[2]李成钢.CRH2型动车组国产化制动控制单元(BCU)通信网关的研究[D].北京交通大学硕士学位论文,2010,5.
[3]张曙光.CRH2型动车组[M].北京：中国铁道出版社,2008,5.
[4]张家祥.HLA仿真技术应用教程[M].北京：国防工业出版社,2007,6.
[5]郭齐胜,董志明,单家元.系统仿真[M].北京：国防工业出版社,2006,8.
[6]戴剑伟.HLA仿真程序设计[M].北京：电子工业出版社,2002,5.
[7]贾连兴.仿真技术与软件[M].北京：国防工业出版社,2006,8.
[8]吴明巧,钟海荣.基于HAL/RTI的卫星组网联邦原型开发[J].系统仿真学报,2004,6.
[9]梁维泰,戚志刚.指挥自动化系统的软件开发策略[J].计算机工程,2000,26(10).
[10]宋晨亮.CTCS3级列控系统仿真测试平台——列车操作运行仿真子系统研究[D].北京交通大学硕士学位论文,2007,5.
[11]吴雅婧.CTCS-3级列控仿真测试平台——车站列控中心子系统研究[D].北京交通大学硕士学位论文,2008,5.
[12]冯江华,王坚,李江华.高速列车牵引传动系统综合仿真平台的分析与设计[J].铁道学报.2012,2.
[13]路小娟.动车组控制技术[M].成都：西南交通大学出版社,2011,9.
[14]何成才,黄秀川.动车组网络技术[M].成都：西南交通大学出版社,2009,10.
[15]李益民,张维.动车组制动技术[M].成都：西南交通大学出版社,2008,12,
[16]周昌首HLA/RTI分布平台研究[M].北京：国防工业出版社,2004,5.
[17]梁彦刚,唐国金,王锋.基于HLA仿真系统的实时性改进策略研究[J].系统仿真学报,2005,6.
[18]邱晓刚,黄柯棣HLA/RTI数据分发的概念[J].计算机科学与工程,1999,7.
[19]林新,王行仁,彭晓源.运行时间框架(RTI)设计中数据管理的研究[J].系统仿真学报,2002,12.
[20]DMSO 1995.Modeling and Simulation(M&S) MasterPlan[EB/OL]. Oetober,1995.
[21]王召福.HLA邦元范型框架及其关键技术研究[D].长沙：国防科技大学硕士学位论文,2000,5.
[22]陈家.分布式虚拟环境关键技术及其在复杂系统仿真中的应用研究[D].北京理工大学硕士学位论文,2000,5.
[23]刘先恺.CRH2型200km/h动车组列车网络控制系统[J].机车电传动,2008,6.
[24]Polach., A Fast Wheel-Rail Force Caculation Computer Code[J].Vehicle System Dynamics,2000,33(1):728-739.
[25]J H Yu. T X Mei. D A Wilson, Re-Adhesion Control Based On Wheelset Dynamsics In Railway Traction System. UKACC2006. Glasgow. UK.
[26]黄栋杰.200公里级CRH2型动车组制动控制系统的研究[D].西南交通大学硕士学位论文,2010,5.
[27]冯峰,王雪梅Visual C++开发高级界面实例[M].北京：人民邮电出版社,2003,8.
[28]David J, kruglinski. Visual C++技术内幕(第四版)[M].北京：清华大学出版社.2009,4.
[29]M. Yamshita. T. Watanabe. Readhesion control method whitout speed sensors for electric railway vehicle[J]. Proce.of IEEE,IEMD.2003:291-296.
[30]彭俊斌.动车组牵引与制动[M].北京：中国铁道出版社.2009.11.
[31]绕忠.列车牵引计算[M].北京：中国铁道出版社.2010,8.
[32]Yashiki Ishikawa. Atsuo Kawamura. Maximum Adhesive Force Control in Super High Speed Train[C]//IEEE. Power Conversion Conference. Nagaoka:IEEE,1999:951-954.
[33]Hiro-o Yamazaki. Yasushi Karino. Effect of Wheel-slip Prevention Control Using Nonlinear Robust Control Theory[J]. Quarterly Report of RTRI,2007,48(1):22-29.
[34]彭其渊,石红国,魏德勇.城市轨道交通列车牵引计算[M].成都：西南交通大学出版社,2005,6.
[35]中华人民共和国铁道部.列车牵引计算规程[M].北京：中国铁道出版社,1999,3.
[36]孙中央,列车牵引计算实用教程[M].北京：中国铁道出版社,2005,4.
[37]Tang Tao, Gao Chunhai. A New Train Speed Automatic Control System For Chinese Railway. Proceedings of The IEEE International Conference on Industrial Technology, 1996.
[38]X. R. Li, Multiple-model estimation whit variable structure, IEEE, Trans Automat Control, Vol.41, No,4,478-493,1996.
[39]唐涛,黄良骥等.列车自动驾驶控制算法综述[J],铁道学报,2000,4.
[40]刘智勇.高速磁悬浮列车安全速度曲线算法及紧急制动控制研究[D],浙江大学硕士学位论文,2004,5.
[41]Liu Yun, Modelling and Implementation of a simulation system for Train Operation[J]. Journal of the China Railway Society,1995,17(2):20-25.
[42]Larmam, Craig, Applying UML and Pattern:An Introduction to Object-Oriented Analysis and Design Upper Saddle River, NJ:Prentice Hal,1998.
[43]吴汶麒.城市轨道交通信号与通讯系统[M].北京：中国铁道出版社,1998,9.
[44]冯晓云,何鸿云,朱金陵等.列车优化操纵原则及优化操纵的数学描述[J],机车电传动,2001,7.
[45]Richalet J, etal.Model Predictive Heuristic Control:Application to Industrial Processes. Automatica,1978,14(5).
[46]Zadeh L. A.On Optimal Control and Linear Programming.IRE Trans.Aut. Control, 1962,7(4).
[47]C. M. Chow, A. G. Kuznetsov and D. W. Vlarke, Successive one-step-ahead predictions in multiple model predictive control. Int. j. Sys. Sc. Vol.29, No,9.
[48]黄良骥,唐涛等.地铁列车自动驾驶仪分析与设计[J],北方交通大学学报,2001,6.
[49]Seong-Ho Han, Yun-Sub Byen, Jong-Hyen Baek,Tac-Ki An, Su-Gil Lee,Hyun-Jun Park. An Optimal Automatic Train Operation Control Using Genetic Algorithma. IEEE, 1999.
[50]Satoshi Sekine, Naoki Imasaki, Tsunekazu Endo. Application of Fuzzy Neural Network Control to Automatic Train Operation and Tuning of Its Control Rules. IEEE,1995.
[51]M Kuwabara, H Chikamatsu.Integrated Traffic Control System and Automatic Train Operation System for Waterfront Line.International Conference on Developments in Mass Trainsit System.1998.
[52]Lang Cheng-lian, Qian Xue-jun, Shen Zhao-xu, Design and Realization of Visual Train Traction and Brake SIMULATION System,Journal of Shanghai Teidao University, 2000.
[53]范小平编著. 跟着学实例Visual C++ 6.0访问数据库绘图制表[M].北京：北京航空航天大学出版社,2003,1.
[54]唐见兵,焦鹏,李革.基于HLA的作战方针系统研究[C].系统仿真技术及其应用,2004,4(9)：415-41.
[55]吴明巧.基于HLA/RTI的卫星组网联邦原型开发[J].系统仿真学报,2004,6.
[56]郝江波,卿杜政,欧阳伶俐,宋星.基于HLA的分布交互仿真应用系统开发研究[J].系统仿真学报,2000,12(9)：425-783.
[57]付正军,王永红译.计算机仿真中的HAL技术[M].北京：国防工业出版社,2003,5.
[58]卿杜政,李伯虎.HLA运行支撑框架的研究与开发[J].系统仿真学报,2000,9.
[59]刘宏.分布式网络监控系统分析[J].计算机技术与自动化,2000,9.
[60]ITOP. ITOPVerifieationandValidationofmodelsandsimulations[S]. draft-ratificationagreement, Oetober,2003.
[61]史扬.新一代仿真技术框架HAL/RTI中数据过滤技术的研究及实现[D].国防科技大学硕士学位论文,1999,5.
[62]柴旭东.高层体系结构HLA/RTI及其实现综述[J].系统仿真学报,1999,2.
[63]曾艳丽.基于HLA的联邦开发过程的研究和应用[D].电子科技大学硕士学位论文,2004,5.
[64]DMSO, HLA Object Model Template Versionl.1.12. February,1997. http://www.dmso.mil.
[65]Xerees. C++XMLparesr. http://xerees.apaehe.org/xerees-c.
[66]张亚崇,孙国基等.基于HLA/RTI的分布式交互仿真中数据分发管理的研究[J].系统仿真学报,2004.16(6)：1284-1287.
[67]姚益平,卢锡城.HLA/RTI时间管理的一种优化算法[J].电子学报,2004,32(2)：294-297.
[68]张祥林,徐瑞恩. RTI的底层开发环境[J].计算机工程,2001,10.
[69]刘晓建.大规模分布式仿真信息传输延迟技术研究[D].国防科技大学硕士学位论文,2000,5.
[70]刘晓建,钟海,金士尧.面向实时感知性能的分布式交互仿真实体迁移技术[J].计算机研究与发展,2004,41(8)：1430-1435.
[71]王磊,李开生等.分布式网络环境下DDM系统层次仿真框架[J].系统仿真学报,2007,19(20)：4689-4693.
[72]孙世霞,黄柯棣.RTI性能测试分析[J].系统仿真学报,2005,17(4)：909-913.
[73]杨建池,任纯力,黄柯棣.IEEE1516中数据分发管理研究[J].系统仿真学报,2004,
[74]梁炳成,王恒霖,郑燕红.军用仿真技术的发展动向和展望[J].系统仿真学报,2001,13(1)：18-21.
[75]王正中.复杂系统仿真方法及应用[J].计算机仿真,2001,18(1)：3-6.
[76]马萍,杨明,马宁,王子才.联邦接口规范测试方法研究[J].系统仿真报,2002,14(3)：304-306.
[2]李成钢.CRH2型动车组国产化制动控制单元(BCU)通信网关的研究[D].北京交通大学硕士学位论文,2010,5.
[3]张曙光.CRH2型动车组[M].北京：中国铁道出版社,2008,5.
[4]张家祥.HLA仿真技术应用教程[M].北京：国防工业出版社,2007,6.
[5]郭齐胜,董志明,单家元.系统仿真[M].北京：国防工业出版社,2006,8.
[6]戴剑伟.HLA仿真程序设计[M].北京：电子工业出版社,2002,5.
[7]贾连兴.仿真技术与软件[M].北京：国防工业出版社,2006,8.
[8]吴明巧,钟海荣.基于HAL/RTI的卫星组网联邦原型开发[J].系统仿真学报,2004,6.
[9]梁维泰,戚志刚.指挥自动化系统的软件开发策略[J].计算机工程,2000,26(10).
[10]宋晨亮.CTCS3级列控系统仿真测试平台——列车操作运行仿真子系统研究[D].北京交通大学硕士学位论文,2007,5.
[11]吴雅婧.CTCS-3级列控仿真测试平台——车站列控中心子系统研究[D].北京交通大学硕士学位论文,2008,5.
[12]冯江华,王坚,李江华.高速列车牵引传动系统综合仿真平台的分析与设计[J].铁道学报.2012,2.
[13]路小娟.动车组控制技术[M].成都：西南交通大学出版社,2011,9.
[14]何成才,黄秀川.动车组网络技术[M].成都：西南交通大学出版社,2009,10.
[15]李益民,张维.动车组制动技术[M].成都：西南交通大学出版社,2008,12,
[16]周昌首HLA/RTI分布平台研究[M].北京：国防工业出版社,2004,5.
[17]梁彦刚,唐国金,王锋.基于HLA仿真系统的实时性改进策略研究[J].系统仿真学报,2005,6.
[18]邱晓刚,黄柯棣HLA/RTI数据分发的概念[J].计算机科学与工程,1999,7.
[19]林新,王行仁,彭晓源.运行时间框架(RTI)设计中数据管理的研究[J].系统仿真学报,2002,12.
[20]DMSO 1995.Modeling and Simulation(M&S) MasterPlan[EB/OL]. Oetober,1995.
[21]王召福.HLA邦元范型框架及其关键技术研究[D].长沙：国防科技大学硕士学位论文,2000,5.
[22]陈家.分布式虚拟环境关键技术及其在复杂系统仿真中的应用研究[D].北京理工大学硕士学位论文,2000,5.
[23]刘先恺.CRH2型200km/h动车组列车网络控制系统[J].机车电传动,2008,6.
[24]Polach., A Fast Wheel-Rail Force Caculation Computer Code[J].Vehicle System Dynamics,2000,33(1):728-739.
[25]J H Yu. T X Mei. D A Wilson, Re-Adhesion Control Based On Wheelset Dynamsics In Railway Traction System. UKACC2006. Glasgow. UK.
[26]黄栋杰.200公里级CRH2型动车组制动控制系统的研究[D].西南交通大学硕士学位论文,2010,5.
[27]冯峰,王雪梅Visual C++开发高级界面实例[M].北京：人民邮电出版社,2003,8.
[28]David J, kruglinski. Visual C++技术内幕(第四版)[M].北京：清华大学出版社.2009,4.
[29]M. Yamshita. T. Watanabe. Readhesion control method whitout speed sensors for electric railway vehicle[J]. Proce.of IEEE,IEMD.2003:291-296.
[30]彭俊斌.动车组牵引与制动[M].北京：中国铁道出版社.2009.11.
[31]绕忠.列车牵引计算[M].北京：中国铁道出版社.2010,8.
[32]Yashiki Ishikawa. Atsuo Kawamura. Maximum Adhesive Force Control in Super High Speed Train[C]//IEEE. Power Conversion Conference. Nagaoka:IEEE,1999:951-954.
[33]Hiro-o Yamazaki. Yasushi Karino. Effect of Wheel-slip Prevention Control Using Nonlinear Robust Control Theory[J]. Quarterly Report of RTRI,2007,48(1):22-29.
[34]彭其渊,石红国,魏德勇.城市轨道交通列车牵引计算[M].成都：西南交通大学出版社,2005,6.
[35]中华人民共和国铁道部.列车牵引计算规程[M].北京：中国铁道出版社,1999,3.
[36]孙中央,列车牵引计算实用教程[M].北京：中国铁道出版社,2005,4.
[37]Tang Tao, Gao Chunhai. A New Train Speed Automatic Control System For Chinese Railway. Proceedings of The IEEE International Conference on Industrial Technology, 1996.
[38]X. R. Li, Multiple-model estimation whit variable structure, IEEE, Trans Automat Control, Vol.41, No,4,478-493,1996.
[39]唐涛,黄良骥等.列车自动驾驶控制算法综述[J],铁道学报,2000,4.
[40]刘智勇.高速磁悬浮列车安全速度曲线算法及紧急制动控制研究[D],浙江大学硕士学位论文,2004,5.
[41]Liu Yun, Modelling and Implementation of a simulation system for Train Operation[J]. Journal of the China Railway Society,1995,17(2):20-25.
[42]Larmam, Craig, Applying UML and Pattern:An Introduction to Object-Oriented Analysis and Design Upper Saddle River, NJ:Prentice Hal,1998.
[43]吴汶麒.城市轨道交通信号与通讯系统[M].北京：中国铁道出版社,1998,9.
[44]冯晓云,何鸿云,朱金陵等.列车优化操纵原则及优化操纵的数学描述[J],机车电传动,2001,7.
[45]Richalet J, etal.Model Predictive Heuristic Control:Application to Industrial Processes. Automatica,1978,14(5).
[46]Zadeh L. A.On Optimal Control and Linear Programming.IRE Trans.Aut. Control, 1962,7(4).
[47]C. M. Chow, A. G. Kuznetsov and D. W. Vlarke, Successive one-step-ahead predictions in multiple model predictive control. Int. j. Sys. Sc. Vol.29, No,9.
[48]黄良骥,唐涛等.地铁列车自动驾驶仪分析与设计[J],北方交通大学学报,2001,6.
[49]Seong-Ho Han, Yun-Sub Byen, Jong-Hyen Baek,Tac-Ki An, Su-Gil Lee,Hyun-Jun Park. An Optimal Automatic Train Operation Control Using Genetic Algorithma. IEEE, 1999.
[50]Satoshi Sekine, Naoki Imasaki, Tsunekazu Endo. Application of Fuzzy Neural Network Control to Automatic Train Operation and Tuning of Its Control Rules. IEEE,1995.
[51]M Kuwabara, H Chikamatsu.Integrated Traffic Control System and Automatic Train Operation System for Waterfront Line.International Conference on Developments in Mass Trainsit System.1998.
[52]Lang Cheng-lian, Qian Xue-jun, Shen Zhao-xu, Design and Realization of Visual Train Traction and Brake SIMULATION System,Journal of Shanghai Teidao University, 2000.
[53]范小平编著. 跟着学实例Visual C++ 6.0访问数据库绘图制表[M].北京：北京航空航天大学出版社,2003,1.
[54]唐见兵,焦鹏,李革.基于HLA的作战方针系统研究[C].系统仿真技术及其应用,2004,4(9)：415-41.
[55]吴明巧.基于HLA/RTI的卫星组网联邦原型开发[J].系统仿真学报,2004,6.
[56]郝江波,卿杜政,欧阳伶俐,宋星.基于HLA的分布交互仿真应用系统开发研究[J].系统仿真学报,2000,12(9)：425-783.
[57]付正军,王永红译.计算机仿真中的HAL技术[M].北京：国防工业出版社,2003,5.
[58]卿杜政,李伯虎.HLA运行支撑框架的研究与开发[J].系统仿真学报,2000,9.
[59]刘宏.分布式网络监控系统分析[J].计算机技术与自动化,2000,9.
[60]ITOP. ITOPVerifieationandValidationofmodelsandsimulations[S]. draft-ratificationagreement, Oetober,2003.
[61]史扬.新一代仿真技术框架HAL/RTI中数据过滤技术的研究及实现[D].国防科技大学硕士学位论文,1999,5.
[62]柴旭东.高层体系结构HLA/RTI及其实现综述[J].系统仿真学报,1999,2.
[63]曾艳丽.基于HLA的联邦开发过程的研究和应用[D].电子科技大学硕士学位论文,2004,5.
[64]DMSO, HLA Object Model Template Versionl.1.12. February,1997. http://www.dmso.mil.
[65]Xerees. C++XMLparesr. http://xerees.apaehe.org/xerees-c.
[66]张亚崇,孙国基等.基于HLA/RTI的分布式交互仿真中数据分发管理的研究[J].系统仿真学报,2004.16(6)：1284-1287.
[67]姚益平,卢锡城.HLA/RTI时间管理的一种优化算法[J].电子学报,2004,32(2)：294-297.
[68]张祥林,徐瑞恩. RTI的底层开发环境[J].计算机工程,2001,10.
[69]刘晓建.大规模分布式仿真信息传输延迟技术研究[D].国防科技大学硕士学位论文,2000,5.
[70]刘晓建,钟海,金士尧.面向实时感知性能的分布式交互仿真实体迁移技术[J].计算机研究与发展,2004,41(8)：1430-1435.
[71]王磊,李开生等.分布式网络环境下DDM系统层次仿真框架[J].系统仿真学报,2007,19(20)：4689-4693.
[72]孙世霞,黄柯棣.RTI性能测试分析[J].系统仿真学报,2005,17(4)：909-913.
[73]杨建池,任纯力,黄柯棣.IEEE1516中数据分发管理研究[J].系统仿真学报,2004,
[74]梁炳成,王恒霖,郑燕红.军用仿真技术的发展动向和展望[J].系统仿真学报,2001,13(1)：18-21.
[75]王正中.复杂系统仿真方法及应用[J].计算机仿真,2001,18(1)：3-6.
[76]马萍,杨明,马宁,王子才.联邦接口规范测试方法研究[J].系统仿真报,2002,14(3)：304-306.