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基于遗传算法的列车优化操纵曲线研究 被引量:5

Research on the Optimization of Operation Curve Using Genetic Algorithm
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摘要 列车优化操纵是列车节能控制的关键,本文以牵引计算理论为基础,结合列车运行过程中的要求,构建以能耗、时分误差、限速等为目标的列车节能控制模型,采用实数遗传算法,通过Visual Basic编程对此问题进行求解。在已知列车编组的条件下,以DF4(客)型机车的牵引、动力制动时的能耗曲线为基础,得到给定运行时间、距离条件下的优化操纵曲线,从而对司机节能优化操纵给出指导性意见。 The optimum operation of train is the key to reduce the energy consumption.Based on the dynamic equation and traction calculation,Combined with the command of train operation,the energy-saving control model is built to realize the purpose of minimizing energy consumption,time error and speed limination.The Genetic Algorithm coded by VB computer language is employed to solve the problem.As the known of train routing modes,driving,power braking and fuel gauge data of DF4,the optimized curve with given running time and distance is obtained,which provides suggestion for drivers.
出处 《系统仿真技术》 2007年第4期192-196,191,共6页 System Simulation Technology
关键词 列车优化操纵曲线 实数编码 遗传算法 列车节能模型 VISUAL Basic编程 optimum operation curve of train real coding genetic algorithm energy-saving control model Visual Basic programming
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  • 1丁勇,毛保华,刘海东,王铁城,张鑫.定时约束条件下列车节能操纵的仿真算法研究[J].系统仿真学报,2004,16(10):2241-2244. 被引量:43
  • 2刘勇 康立山 等.非数值并行算法(第二册)--遗传算法[M].北京:科学出版社,1997..
  • 3陈传璋.数字分析(第二版)[M].北京:高等教育出版社,1983..
  • 4Qi X F,IEEE Trans Neural Networks,1994年,5卷,1期,102页
  • 5Qi X F,IEEE Trans Neural Networks,1994年,5卷,1期,120页
  • 6陈传璋,数学分析(第2版),1983年
  • 7J Cheng,P Howlett.Application of Critical Velocities to the minimization of Fuel Consumption in the Control of Trains[J].Automatica (S0005-1098),1992,28(1):165-169.
  • 8J Cheng,P Howlett.A note on the Calculation of Optimal Strategies for the Minimization of Fuel Consumption in the Control of Trains[J].IEEE Trans.on Automatic Control (S0018-9286),1993,38(11):1730-1734.
  • 9PHIL Howlett.Optimal Strategies for the Control of a Train[J].Automatica (S0005-1098),1996,32(4):519-532.
  • 10J Cheng.Algorithms on Optimal Driving Strategies for Train Control Problem[C]// Proceedings of the 3'World Congress on Intelligent Control and Automation.June28-July2,2000,Hefei,P.R China.

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  • 1崔世文,冯晓云.列车优化操纵与自动驾驶模式的研究与仿真[J].铁道机车车辆,2005,25(5):9-12. 被引量:17
  • 2李玉生,侯忠生.基于遗传算法的列车节能控制研究[J].系统仿真学报,2007,19(2):384-387. 被引量:34
  • 3荀径,宁滨,郜春海.列车追踪运行仿真系统的研究与实现[J].北京交通大学学报,2007,31(2):34-37. 被引量:20
  • 4中华人民共和国铁道部.TB/T1407-1998列车牵引计算规程[S].北京:中国标准出版社,1998.
  • 5Bocharnikov Y V, Tobias A M, Roberts C, et al. Optimal driving strategy for traction energy saving on DC suburban railways [J].Electric Power Applications, lET, 2007, 1(5) :675-682.
  • 6Chuang H J,Chen C S, Lin C H,et al. Design of optimal coasting speed for saving social cost in mass rapid transit systems [C] // Proceedings of the Third International Con{erence on Electric Utility Deregulation and Restructuring and Power Technologies, April 6-9, 2008, Nanjuing, China. Piscataway : IEEE Press, 2008 : 2833-2839.
  • 7Acikbas S, Sylemez M T. Coasting point optimization for mass rail transit lines using artificial neural networks and genetic algorithms [J]. Electric Power Applications, IET, 2008,2 ( 3 ) : 172-182.
  • 8Ke B R,Lin C L,Lai C W. Optimization of train-speed trajectory and control for mass rapid transit systems[J]. Control Engineering Practice,2011,19(7): 675- 687.
  • 9Sheu J W, Lin W S. Automatic train regulation with energy saving using dual heuristic programming[C]// Proceedings of the 2011 IEEE International Conference on Control Applications, September 28-30, 2011, Denver, CO. Piscataway : IEEE Press, 2011 : 760-767.
  • 10Liu R F,Golovitcher I M. Energy-efficient operation of rail vehicles[J]. Tranportation Research Part A:Policy and Practice,2003,37(10) :917-932.

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