基于卡尔曼滤波的捷联惯导运动基座传递对准方法及实现

Mingyu Cong, Huan Lu, Xianghong Cheng, Hao Liang
{"title":"基于卡尔曼滤波的捷联惯导运动基座传递对准方法及实现","authors":"Mingyu Cong, Huan Lu, Xianghong Cheng, Hao Liang","doi":"10.1109/ICCASIT48058.2019.8973175","DOIUrl":null,"url":null,"abstract":"As a precondition for the navigation system to achieve the high-precision navigation, the initial alignment of the strapdown inertial navigation system (SINS) estimates the navigation parameter errors and corrects the orientation cosine matrix by adopting the Kalman filtering method on the basis of the inertial navigation error equations. This paper focuses on the study of the initial fine alignment based on the Kalman filtering method, in which the commonly used filtering state equations are provided and the “velocity matching” method is used to compensate the INS error model and error state estimation, thus improving the precision of initial alignment. The feasibility of the initial alignment technology is also proved by the mathematical simulation and the carrying test flight on Y-5 aircraft. This method basically meets the requirements of engineering application, by which the errors can be converged into a steady state within 20 seconds.","PeriodicalId":289822,"journal":{"name":"2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Transfer Alignment Method and Realization of SINS on Moving Base Based on Kalman Filter\",\"authors\":\"Mingyu Cong, Huan Lu, Xianghong Cheng, Hao Liang\",\"doi\":\"10.1109/ICCASIT48058.2019.8973175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As a precondition for the navigation system to achieve the high-precision navigation, the initial alignment of the strapdown inertial navigation system (SINS) estimates the navigation parameter errors and corrects the orientation cosine matrix by adopting the Kalman filtering method on the basis of the inertial navigation error equations. This paper focuses on the study of the initial fine alignment based on the Kalman filtering method, in which the commonly used filtering state equations are provided and the “velocity matching” method is used to compensate the INS error model and error state estimation, thus improving the precision of initial alignment. The feasibility of the initial alignment technology is also proved by the mathematical simulation and the carrying test flight on Y-5 aircraft. This method basically meets the requirements of engineering application, by which the errors can be converged into a steady state within 20 seconds.\",\"PeriodicalId\":289822,\"journal\":{\"name\":\"2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCASIT48058.2019.8973175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCASIT48058.2019.8973175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

捷联惯导系统的初始对准是实现导航系统高精度导航的前提,在惯导误差方程的基础上,采用卡尔曼滤波方法对导航参数误差进行估计,并对姿态余弦矩阵进行校正。本文重点研究了基于卡尔曼滤波方法的初始精细对准,给出了常用的滤波状态方程,并利用“速度匹配”方法补偿惯导系统的误差模型和误差状态估计,从而提高了初始对准的精度。通过数学仿真和运-5载机试飞,验证了初始对准技术的可行性。该方法可以在20秒内将误差收敛到稳定状态,基本满足工程应用的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transfer Alignment Method and Realization of SINS on Moving Base Based on Kalman Filter
As a precondition for the navigation system to achieve the high-precision navigation, the initial alignment of the strapdown inertial navigation system (SINS) estimates the navigation parameter errors and corrects the orientation cosine matrix by adopting the Kalman filtering method on the basis of the inertial navigation error equations. This paper focuses on the study of the initial fine alignment based on the Kalman filtering method, in which the commonly used filtering state equations are provided and the “velocity matching” method is used to compensate the INS error model and error state estimation, thus improving the precision of initial alignment. The feasibility of the initial alignment technology is also proved by the mathematical simulation and the carrying test flight on Y-5 aircraft. This method basically meets the requirements of engineering application, by which the errors can be converged into a steady state within 20 seconds.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信