利用物理信息神经网络动力学模型进行虚拟耦合列车组的参数识别和排序控制

IF 3.5 2区工程技术 Q1 ENGINEERING, MECHANICAL

Vehicle System Dynamics Pub Date : 2024-08-26 DOI:10.1080/00423114.2024.2393340

Yafei Liu, Lei Yang, Shuaifei Zhang, Yihao Kang, Jing Xun, Zhanbo Sun

引用次数: 0

摘要

列车动力学建模对于虚拟耦合列车组（VCTS）的排控至关重要。多变的轨轮条件和高昂的数据收集成本给列车动力学建模带来了巨大挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Parameter identification and platoon control for virtually coupled train set with physics-informed neural network dynamics model

Modelling train dynamics is essential for the platoon control of virtually coupled train sets (VCTS). Variable rail-wheel conditions and high data collection costs pose substantial challenges for b...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Vehicle System Dynamics 工程技术-工程：机械

CiteScore

8.40

自引率

13.90%

发文量

110

审稿时长

3 months

期刊介绍： Vehicle System Dynamics is an international journal, providing a source of information for the vehicle engineer and the applied scientist. The journal emphasizes the theoretical background of research and development problems of all kinds of road, rail and other ground-based vehicles. Main topics are: Dynamics of vehicle systems and their components including suspension, steering, braking, chassis systems, noise-vibration-harshness, power train; Control of motion and forces affecting vehicle behaviour; Computer aided modelling and simulation, validation, parameter identification and testing, driver modelling; Vehicle interactions with the environment including wheel-rail and tyre-ground behaviour; Active Safety Systems including collision and derailment warning, avoidance and mitigation; Intelligent vehicles, guided vehicles, automated traffic systems related to vehicle dynamics, unconventional vehicles.