基于多源信息融合的磁浮列车组合式测速定位方法
成庶1刘畅1宋丽伟2向超群1李林2
Maglev Train Integrated Positioning and Speed Measuring Method Based on Multi-source Information Fusion
CHENG ShuLIU ChangSONG LiweiXIANG ChaoqunLI Lin
-
作者信息:1.1.中南大学交通运输工程学院， 410075， 长沙；
2.2.中车株洲电力机车有限公司， 412001， 株洲
-
Affiliation:School of Transportation Engineering, Central South University, 410075, Changsha, China
-
关键词:
-
Key words:
-
DOI:10.16037/j.1007-869x.2022.08.030
-
中图分类号/CLCN:U237.6;U292.91+7
-
栏目/Col:应用技术
摘要:
分析了现有常用测速定位方法的不足及缺陷，从联邦卡尔曼滤波原理出发，提出了基于多源信息融合的磁浮列车组合式测速定位方法。该方法有效整合了惯性导航系统、全球卫星导航系统以及多普勒雷达传感器，成功搭建了列车运动模型，并设计、改良了融合算法。基于MATLAB软件仿真平台进行仿真试验，验证了该方法的有效性和可靠性。
Abstracts:
The shortcomings and defects of the existing positioning and speed measuring methods are analyzed. Based on federated Kalman filter principle, a maglev train integrated positioning and speed measuring method based on multi-source information fusion is proposed. This method effectively integrates Inertial Navigation System, GNSS (global navigation satellite system) and Doppler radar sensor. A train movement model is successfully built, and the fusion algorithm is designed and optimized. Based on the simulation tests on MATLAB software simulation platform, the effectiveness and reliability of the proposed method is verified.
- 上一篇: 高铁物流运输模式及其可行性
- 下一篇: 长株潭城际铁路公交化运营创新策略
过刊浏览
资料下载
友情链接