首页|Research on Virtual Coupled Train Control Method Based on GPC&VAPF
Research on Virtual Coupled Train Control Method Based on GPC&VAPF
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Improving transportation efficiency is an eternal research hotspot in rail transit system.In recent years,the train operation control method based on virtu-al coupling has attracted the attention of many scholars.The method of train coordination and anti-collision con-trol is not only the key to realize the virtual coupling of train,but also the key to ensure the safety of train opera-tion.Therefore,based on the existing research,a virtual coupled train dynamics model with nonlinear dynamics is established.Then,the parameters of the operation pro-cess model of the nonlinear virtual coupled train are iden-tified by the recursive least squares method based on real-time data,which is applied to the variable parameter arti-ficial potential field(VAPF)for parameter identification.A fusion controller based on feature-based generalized model prediction(GPC)and VAPF is used to control the virtual coupled train and prevent collision.Finally,the validity of the proposed method is verified by using real high-speed railway data.
Virtual coupling train control systemGeneralized model predictive controlNonlinear systemArtificial potential field(APF)
CAO Yuan、YANG Yaran、MA Lianchuan、WEN Jiakun
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State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China
National Engineering Research Center of Rail Transportation Operation and Control System,Beijing Jiaotong University,Beijing 100044,China
School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China
国家重点研发计划国家自然科学基金National Science Fund for Excellent Young Scholars