北京交通大学学报2023，Vol.47Issue(5)：48-55,8.DOI:10.11860/j.issn.1673-0291.20230010
基于纵横向多速度融合的高速列车测速精度研究
Research on speed measurement accuracy of high-speed train based on longitudinal and transverse multi-speed fusion
摘要
Abstract
In view of the common issues of significant speed measurement errors and low operational efficiency in high-speed train systems,this study introduces a speed measurement method based on longitudinal and transverse multi-speed fusion.Firstly,the process begins by collecting speed data from four speed sensors through stacked sampling.The Federal Kalman filtering algorithm is applied to filter each of the four speed values longitudinally.The decay memory method is incorporated to ad-dress filtering dispersion issues,obtaining the 4 longitudinal fused speed values.Secondly,a confi-dence distance reliability of the four longitudinal fusion speed values is used to determine the number of valid fusion speed values,eliminating the impact of sensor failure.Thirdly,an improved Bayesian data fusion algorithm is employed to transversely fuse the valid longitudinal fused speed values.Finally,the algorithms are simulated,and the analysis and comparison of the simulation results are completed.The results show that the average error in the longitudinal fusion speed,when using the Federal Kalman filtering algorithm based on the decay memory method,is 0.669 6 km/h.On the other hand,the average error in the fusion speed,utilizing the longitudinal and transverse multi-speed fusion method,is 0.392 8 km/h,marking a substantial enhancement in average speed measurement accuracy.关键词
测速精度/纵横向多速度融合/联邦卡尔曼滤波/衰减记忆法/贝叶斯数据融合Key words
speed measurement accuracy/longitudinal and transverse multi-speed fusion/Federal Kalman filter/attenuation memory method/Bayesian data fusion分类
交通工程引用本文复制引用
侯涛,赵廷阳..基于纵横向多速度融合的高速列车测速精度研究[J].北京交通大学学报,2023,47(5):48-55,8.基金项目
甘肃省重点研发计划(23YFGA0049) （23YFGA0049）
甘肃省自然科学基金(21JR7RA321,22JR5RA358) Gansu Key R&D Plan(23YFGA0049) （21JR7RA321,22JR5RA358）
Natural Science Foundation of Gansu Province(21JR7RA321,22JR5RA358) （21JR7RA321,22JR5RA358）
