基于计算机技术的一体化列车运行智能控制系统  

Integrated Train Operation Intelligent Control System Based on Computer Technology

作　　者：邵华平[1] 贾利民[2] 覃征[1] 

机构地区：[1]西安交通大学电子与信息工程学院,陕西西安710049 [2]铁道科学研究院,北京100081

出　　处：《中国铁道科学》2004年第1期56-61,共6页China Railway Science

基　　金：国家自然科学基金资助项目(70271058)

摘　　要：针对列车运行多目标、多个互相联系的受控对象控制问题,探讨列车运行一体化控制概念和智能化控制的方法、手段。提出列车运行控制的7个约束集、7个限制集、5个指标集,并进行分析和排列,运用模糊逻辑、神经网络、遗传算法等智能控制理论和技术,构造一体化列车运行智能控制的分布式并行框架结构,分析距离差值ΔS等7个影响列车智能控制的决策因数,从移动性角度探讨目标函数的时变、非线性动态加权特性,提出了具有5层结构的模糊移动神经网络系统,介绍该系统的调节变量、输出变量、预测误差之间的关系和特性。To address multi-target train operation and the control of multi-interrelated objects, the paper explores the concept of integrated control and the method and means of intelligent control in train operation. It proposes that 7 constraint collectives, 7 restriction collectives and 5 index collectives of train operation be analyzed and arranged. With fuzzy logic, nerve network, heredity methodology, the distributed parallel framework of the integrated train operation intelligent control is constructed. The 7 distance differences ΔS that are influencing the train intelligent control are analyzed. The time variation of the target function and the non-linear dynamic weighted features are explored from the mobility angle. The paper puts forward a five-layer fuzzy mobile nerve network system, and introduces the relationship between the regulation variables, the output variables and forecast errors and their features.

关 键 词：智能控制 一体化 列车运行控制 神经网络 系统分析 

分 类 号：U29[交通运输工程—交通运输规划与管理] TP273[交通运输工程—道路与铁道工程]