Research on Track Irregularity Detection Algorithm Based on Data Fusion

Yi LI; Huan BAI; Yuanming LIU

doi:10.13890/j.issn.1000-128x.2021.03.002

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Research on Track Irregularity Detection Algorithm Based on Data Fusion

Rail Engineering Vehicle Column | 更新时间：2021-12-09

- Research on Track Irregularity Detection Algorithm Based on Data Fusion
- Electric Drive for Locomotives Issue 3, Pages: 9-15(2021)
- 作者机构：
  
  1.株洲时代电子技术有限公司，湖南　株洲　412007
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2021.03.002
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Yi LI, Huan BAI, Yuanming LIU. Research on Track Irregularity Detection Algorithm Based on Data Fusion. [J]. Electric Drive for Locomotives (3):9-15(2021)
DOI：

Yi LI, Huan BAI, Yuanming LIU. Research on Track Irregularity Detection Algorithm Based on Data Fusion. [J]. Electric Drive for Locomotives (3):9-15(2021) DOI： 10.13890/j.issn.1000-128x.2021.03.002.

摘要

针对轨道不平顺检测方法和检测精度问题，提出基于捷联式惯性导航技术，搭建以四元数为基础的“数学平台”，融合里程计和射频标签修正里程位置信息，根据惯性测量单元加速度计和陀螺仪的数据进行轮轴姿态解算，通过互补滤波算法进行数据融合，并基于混沌增强果蝇优化算法进行滤波处理，获得以欧拉角表示的轮轴三维姿态数据，进而拟合实现轨道不平顺检测。实践表明，文章提出的数据融合检测算法，可以有效实现轨道不平顺检测，提高检测精度，为轨道维护保养提供基础数据。

Abstract

Aiming at the problem of track irregularity detection method and accuracy, a strap-down inertial navigation technology was proposed. A quaternion based "mathematical platform" was built. By integrating odometer and radio frequency tag, the mileage position information was corrected; By integrating accelerometer and gyroscope data of inertial measurement unit(IMU), the axle attitude was calculated; By using complementary filtering algorithm for data fusion, and using chaotic-enhanced fruit flyoptimization algorithm (CFOA) for filtering, the wheel axle three-dimensional attitude data expressed by Euler angle was obtained, and then fitted to realize the track irregularity detection. Practice shows that the data fusion detection algorithm proposed in this paper can effectively realize the track irregularity detection, improve the detection accuracy, and provide basic data for track maintenance.

关键词

轨道不平顺不平顺检测捷联式惯性导航数据融合混沌增强果蝇优化算法姿态解算

Keywords

track irregularityirregularity detectionSINSdata fusionCFOAattitude calculation

references

王孝贤, 郭健, 王会峰, 等. 基于激光基准的轨道平顺度检测仪[J]. 激光与光电子学进展, 2019, 56(10): 179-185.

WANG Xiaoxian, GUO Jian, WANG Huifeng, et al. Railway track smoothness detector based on laser reference[J]. Laser& Optoelectronics Progress, 2019, 56(10): 179-185.

张格明. 中高速条件下车线桥动力分析模型与轨道不平顺影响[D]. 北京: 铁道部科学研究院, 2001.

ZHANG Geming. Vehicle-track-bridge system dynamic analysis model and track irregularities control on quasi &high-speed railway[D]. Beijing: China Academy of Railway Sciences, 2001.

陈建锋. 面向高动态环境的SINS/GPS高精度组合测量中的关键问题研究[D]. 南京: 东南大学, 2015.

CHEN Jianfeng. Key issues in SINS/GPS integrated system for high-precision measurement application in high dynamic environments[D]. Nanjing: Southeast University, 2015.

黄磊. 高动态环境捷联惯导信号处理及高精度姿态速度算法研究[D]. 南京: 南京航空航天大学, 2015.

HUANG Lei. Research on signal processing methods and high-precision attitude and velocity algorithms of strapdown inertial navigation systems under highly dynamic environments[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2015.

薛卓鹏. 基于卡尔曼滤波的组合测量及其在轨道测量中的应用研究[D]. 成都: 西南交通大学, 2014.

XUE Zhuopeng. Research on combined measurement method based on Kalman filtering and its application in railway inspection[D]. Chengdu: Southwest Jiaotong University, 2014.

李宗岳, 陈志军, 李名远. 基于混沌扰动策略的果蝇优化算法[J]. 微电子学与计算机, 2016, 33(7): 64-68.

LI Zongyue, CHEN Zhijun, LI Mingyuan. Fruit fly optimization algorithm based on chaotic interrupt[J]. Microelectronics & Computer, 2016, 33(7): 64-68.

姚文国. 组合导航系统及其滤波算法研究[D]. 西安: 西安电子科技大学, 2007.

YAO Wenguo. Research on integrated navigation system and filtering algorithm[D]. Xi’an: Xidian University, 2007.

李萌萌, 王潜心, 李怀展, 等. 轨道坐标系到星固坐标系的四元数转换方法[J]. 河南理工大学学报(自然科学版), 2021, 40(3): 59-65.

LI Mengmeng, WANG Qianxin, LI Huaizhan, et al. Quaternion transformation method from orbital coordinate system to astral fixed coordinate system[J]. Journal of Henan Polytechnic University(Natural Science), 2021, 40(3): 59-65.

李焜武. 基于GPS的轨道外部几何参数测量关键技术研究[D]. 长沙: 中南大学, 2014.

LI Kunwu. Research on external track geometric parameters measurement based on GPS[D]. Changsha: Central South University, 2014.

刘同明, 夏祖勋, 解洪成. 数据融合技术及其应用[M]. 北京: 国防工业出版社, 1998.

LIU Tongming, XIA Zuxun, XIE Hongcheng. Data fusion techniques and its applications[M]. Beijing: National Defense Industry Press, 1998.

秦永元. 惯性导航[M]. 北京: 科学出版社, 2020.

QIN Yongyuan. Inertial navigation[M]. Beijing: Science Press, 2020.

陈督, 霍鹏飞, 陈超, 等. 基于自适应互补滤波的滚转角测量算法[J]. 探测与控制学报, 2020, 42(1): 17-20.

CHEN Du, HUO Pengfei, CHEN Chao, et al. Rolling angle measurement algorithm based on adaptive complementary if ltering[J]. Journal of Detection & Control, 2020, 42(1): 17-20.

张树侠, 孙静. 捷联式惯性导航系统[M]. 北京: 国防工业出版社, 1992.

ZHANG Shuxia, SUN Jing. Strap-down inertial navigation system[M]. Beijing: National Defense Industry Press, 1992.

袁赣南, 梁海波, 何昆鹏, 等. MEMS陀螺随机漂移在线补偿技术[J]. 北京航空航天大学学报, 2010, 36(12): 1448-1452.

YUAN Gannan, LIANG Haibo, HE Kunpeng, et al. On-line compensation technique for micromechanical gyroscope random error[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(12): 1448-1452.

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