货运列车节能平稳运行优化操纵研究

Study on Optimized Handling for Energy-saving and Smooth Operation of Freight Train

铁路货运作业愈加繁重,能源消耗和司机工作强度不断增加。对货运列车节能平稳操纵算法进行研究,构建辅助或自动驾驶系统,将有效改善这一现象,促进铁路运输业健康发展。本文将专家系统和节能运行最佳工况切换点判定准则相结合,设计了满足安全、准点、平稳和合理操纵约束的货运列车节能运行优化操纵算法。首先在分析列车节能最优控制理论成果、优秀司机平稳操纵经验和电力机车自身操纵约束的基础上,归纳明确了列车节能、平稳和合理操纵方面的规则约束,并分析协调规则间的作用优先级,构建对象知识库,形成专家系统。随后基于局部能量最小原则,确定列车节能运行最佳工况切换点判定准则。最后给出了算法实现流程。将该算法应用于邯郸—长治线列车的操纵优化,并选取优秀司机的驾驶数据进行案例对比,结果表明,本文算法较该司机节能2.6%。

With the railway freight transportation become increasingly busy, the energy consumption of transportation and the workload of train drivers has became a matter of concern. In order to improve current situation and to ensure the healthy development of railway transport, researchers carry on researches on driving assistant system or automatic train operation, by study energy saving and smooth operation algorithm of freight trains. This paper introduces an energy-efficient driving algorithm by combining the expert system and the optimal switching strategies, which could generate speed profiles under safety, punctuality, smooth and other rational constraints. Firstly, based on the rules from theoretical results of optimal energy-efficient train control, the smooth-handling rules of experienced drivers and the operational constraints of electrical locomotives, we obtained the rules of energy saving, smooth and rational handling. After analyzing and coordinating the priorities between these rules, this paper builds the knowledge base and constructs an expert sys tern. Then, the judgment rules of optimal switching position for energy-efficient operation is defined, which is based on the local energy minimization principles. Finally, the algorithm flow is given. This paper applies the algorithm to the operation optimization of a train on Handan Changzhi railway line and does a case comparison with a real record of an excellent driver. The comparison result shows that the algorithm saves 2.6 % of energy than the driver.