控制与信息技术Issue(4)：44-52,9.DOI:10.13889/j.issn.2096-5427.2024.04.006
基于参数随机分布特性的多质点重载列车安全制动模型研究
Research on Multi-Mass Safety Braking Model for Heavy-Haul Trains Based on Random Distribution of Parameters
白金磊 1王跃 1江帆 1张征方 1史可 1钟谱华1
作者信息
- 1. 株洲中车时代电气股份有限公司,湖南 株洲 412001
- 折叠
摘要
Abstract
The virtual coupling technology of trains significantly improves the transportation capacity of railway lines,making it a research hotspot among emerging technologies in the rail transit industry. Its key technical feature lies in a new safety braking model developed based on the concept of "dynamic tracking". However,existing research only addresses boundary issues such as emergency braking and minimum headways,lacking applicability in the context of heavy-haul trains,due to the absence of solutions for complex track conditions,strong dispersion in air braking capability,and other unfavorable factors. This paper presents a multi-mass safety braking model specifically for heavy-haul trains,based on the random distribution of parameters,to solve these challenges. Initially,a multi-mass dynamics analysis of trains was conducted based on the topological structure of the virtual coupling system of trains,leading to the establishment of a coupler-draft gear model. Subsequently,a safety braking model for heavy-haul trains was designed by referencing the safety model of the communication-based train control system (CBTC). This model was then utilized for simulation analysis,where technical indexes were evaluated from the perspective of longitudinal dynamics stability,corresponding to different fail-safe measures taken on following trains. In addition,the characteristics of the distribution function for safe braking distances were analyzed in relation to the random variation of typical parameters. Furthermore,verification was performed through the kinematic simulations of trains. Results showed that the proposed model resulted in greatly shortened headways below 1.4 km while improving the safety confidence by about 1 for trains,demonstrating its efficacy in improving both the efficiency and safety of train transportation.关键词
重载列车/安全制动模型/虚拟联挂/随机分布/纵向动力学Key words
heavy-haul train/safety braking model/virtual coupling/random distribution/longitudinal dynamics分类
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白金磊,王跃,江帆,张征方,史可,钟谱华..基于参数随机分布特性的多质点重载列车安全制动模型研究[J].控制与信息技术,2024,(4):44-52,9.
