基于周期自适应学习的中低速磁悬浮列车运行控制方法  

Operation Control Method for Medium-low-speed Maglev Train Based on Periodic Adaptive Learning

作　　者：张文静 南楠 曹博文 李孟月 岳强[1] 徐洪泽[1] ZHANG Wenjing;NAN Nan;CAO Bowen;LI Mengyue;YUE Qiang;XU Hongze(School Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]北京交通大学电子信息工程学院,北京100044

出　　处：《铁道学报》2021年第6期88-94,共7页Journal of the China Railway Society

基　　金：国家重点研发计划(2016YFB1200601,2016YFB1200602);航空科学基金(201901M5001)。

摘　　要：为了提高中低速磁悬浮列车的运行控制性能,利用列车往返运行的周期性,提出一种基于周期自适应学习的运行控制方法。该周期自适应补偿控制器由4部分组成:PD模块、速度前馈模块、周期自适应线路附加阻力补偿模块以及涡流阻力与空气阻力补偿模块。在线路参数未知的条件下,周期自适应补偿模块通过学习上一周期内的信息,估计线路附加阻力中的未知参数,消除线路附加阻力对列车运行过程的影响。利用某磁悬浮试验线数据进行仿真研究,结果表明,提出的周期自适应运行控制方法可以有效提高中低速磁浮列车的运行控制性能。To improve the operation control performance of medium-low-speed maglev train,considering periodic train operation on a given line,this paper presented an operation control method using periodic adaptive learning.The proposed periodic adaptive compensation controller consists of four parts:PD module,speed feed-forward module,periodic adaptive learning line additional resistance compensator,and eddy current resistance and air resistance compensator.The periodic adaptive learning compensator can estimate the unknown parameters of the train line additional resistance and eliminate the influence of line additional resistance on train running process by learning the information of the previous period when line parameters are unknown.Finally,the simulation study was carried out using the data of a maglev test line.The results show that the proposed periodic adaptive learning operation control method can effectively improve the operation control performance of medium-low-speed maglev train.

关 键 词：中低速磁悬浮列车 运行控制 周期自适应学习控制 线路附加阻力补偿 

分 类 号：U284[交通运输工程—交通信息工程及控制]