面向安全高效运行的重载列车智能操控关键技术  

Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation

作　　者：王青元[1] 魏咪 胡云卿 王建华 江帆 张征方 王开云[4] WANG Qingyuan;WEI Mi;HU Yunqing;WANG Jianhua;JIANG Fan;ZHANG Zhengfang;WANG Kaiyun(Southwest Jiaotong University,School of Electrical Engineering,Chengdu,Sichuan 611756,China;Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China;Guoneng Shuohuang Railway Development Co.,Ltd.,Rolling Stock Branch,Cangzhou,Hebei 062350,China;Southwest Jiaotong University,State Key Laboratory of Rail Transit Vehicle System,Chengdu,Sichuan 610031,China)

机构地区：[1]西南交通大学电气工程学院,四川成都611756 [2]株洲中车时代电气股份有限公司,湖南株洲412001 [3]国能朔黄铁路发展有限责任公司机辆分公司,河北沧州062350 [4]西南交通大学轨道交通运载系统全国重点实验室,四川成都610031

出　　处：《控制与信息技术》2024年第4期130-139,共10页CONTROL AND INFORMATION TECHNOLOGY

基　　金：国家重点研发计划项目(2021YFB2601504)。

摘　　要：面向我国重载铁路自动化和智能化发展以及重载铁路运输需求持续增长对既有列车运行控制带来的严峻挑战,文章围绕重载列车智能操控关键技术展开了研究现状介绍,并分析了目前亟待解决的难题与未来发展趋势。首先,针对列车纵向动力学建模,已有研究多考虑单一环境、固定工况下机理建模及分析,难以精确表征列车运行过程中的内、外部参数时空渐变特性,因此,在已有机理模型基础上考虑未建模动态,并进行降阶等效是未来一个重要研究方向。其次,长编组列车车辆间非线性强耦合特性、空气制动特性对列车运行过程中纵向冲动的影响依旧为重载列车操纵优化带来了巨大的挑战,借鉴高速列车多车协同控制技术,研究考虑主动抑制纵向冲动的重载列车多机车分布式协同控制具有重要意义。最后,结合数据驱动与人工智能算法、多源信息融合等新兴技术分析了列车控制领域一些新的机遇,而耦合仿真平台与评估体系的搭建也将成为重载列车安全运行分析、评估与优化的一种有效途径。Considering the developmental trends towards automation and intelligence in China's heavy-haul railways,as well as the severe challenges that the continuous growth in heavy-haul railway transportation demands poses to existing train operational control,this paper presents the current research status of key technologies for the intelligent control of heavy-haul trains and analyzes pressing issues and future trends.Firstly,regarding the longitudinal dynamics modeling of trains,existing studies primarily focus on mechanism modeling and analysis under single environment and fixed conditions,making it difficult to accurately characterize the spatio-temporal variability of both interior and exterior parameters during train operation.Therefore,this paper recommends considering dynamic effects not captured by existing mechanism models and exploring order reduction equivalency in future research.Secondly,the strong nonlinear coupling characteristics between cars in long-consist trains and the impact of air braking characteristics on longitudinal impulses during train operation,still pose significant challenges for optimizing the control of heavy-haul trains.Drawing from multi-vehicle cooperative control techniques for high-speed trains,research into the distributed cooperative control of heavy-haul trains with multiple locomotives is of great significance,due to its active suppression of longitudinal impulses.Finally,this paper analyzes new opportunities in the field of train control,incorporating emerging technologies such as data-driven approaches,artificial intelligence algorithms,and multi-source information fusion.Additionally,it discusses the establishment of coupled simulation platforms and evaluation systems as potential means for the effective analysis,evaluation,and optimization of operational safety for heavy-haul trains.

关 键 词：重载列车 智能操控 动力学建模 操纵优化 数据驱动 人工智能 多源信息融合 耦合仿真平台 

分 类 号：U292.921[交通运输工程—交通运输规划与管理]