期刊文献+

基于PWCS理论的单轴旋转惯导系统初始对准的可观测性分析 被引量:4

Observability analysis for initial alignment of single-axial rotating INS
下载PDF
导出
摘要 针对旋转惯导系统的初始对准模型时变特点,基于单轴旋转惯导系统的误差方程分析了不同旋转方案中对准模型的区别主要表现为旋转变换矩阵不同,并进一步推导了绕3个不同轴向的单轴二位置转停方案的旋转变换矩阵,建立了不同旋转方案的卡尔曼滤波对准模型。而后,忽略转停方案中的旋转过程,基于PWCS理论对不同位置的对准模型进行研究,分析了不同时段内系统的总观测性矩阵和提取观测性矩阵,根据矩阵的秩确定了系统的可观测性。分析表明:IMU绕X轴二位置转停方案的可观测状态数由7增加为8;绕Y和Z轴二位置转停方案的可观测状态数由7增加为10,系统完全可观测。 Since the initial alignment model of rotating INS is time-varying, the piece-wise constant system(PWCS)theory was applied to analyze the observability of the rotating INS with different rotation schemes. Firstly, based on the analysis of error equations of rotating INS, it was found that the distinction of alignment models are difference of the rotation transform matrix between the body frame and the rotation frame. Thus the rotation transform matrixes of 3 different single-axial rotation schemes were deduced and the Kalman alignment filters for the different schemes were designed. Then, the PWCS theory was applied to analyze the total observability matrix (TOM) and stripped observahility matrix (SOM) of the each state in the rotation scheme. The observability of different rotation schemes was researched by calculating the rank of SOM. Analysis results show that the number of the observable state changes from 7 to 8 when IMU rotates with X axis, while it is up to 10 when IMU rotates with Y or Z axis.
出处 《海军工程大学学报》 CAS 北大核心 2012年第6期11-15,共5页 Journal of Naval University of Engineering
基金 国家自然科学基金资助项目(61104184 40904018) 国家重大科学仪器开发专项基金资助项目(2011yq12004502) 教育部重点实验室基金资助项目(201001) 海军工程大学博士生创新基金资助项目(HGBSJJ2011008)
关键词 惯性导航 初始对准 旋转惯导系统 分段定常系统 inertial navigation initial alignment rotating INS piece-wise constant system
  • 相关文献

参考文献4

二级参考文献28

共引文献148

同被引文献32

  • 1柴卫华,张树侠.捷联惯导系统静基座解析粗对准的误差研究[J].中国惯性技术学报,1999,7(4):35-38. 被引量:10
  • 2张传斌,田蔚风,金志华.车载DR导航的非线性滤波方法研究[J].系统工程与电子技术,2005,27(6):1058-1060. 被引量:8
  • 3CHANG L B, HUB Q, LI A, et al. Strapdown iner- tial navigation system alignment based on margina- lized unscented Kalman filter [J]. IET Science, Measurement and Technology, 2013,7 (2) : 128-138.
  • 4CHANG L B, HU B Q, CHANG G B. Modified unscented quaternion estimator based on quaternion averaging [J]. Journal of Guidance, Control, and Dynamics, 2014,37 (1) : 305-309.
  • 5CRASSIDISJ L, MARKLEY F L, CHENG Y. Survey of nonliner attitude estimation methods [J]. Journal of Guidance, Control and Dynamics, 2007, 30(1) ..12-28.
  • 6SHUSTER M D. Filter quest or request [J]. Jour- nal of Guidance, Control and Dynamics, 2009, 32(2) ~: 643-645.
  • 7肖振雄,武元新.几种初始对准新方法的比较研究[c]//中国制导、导航与控制学术会议.北京:中国制导、导航与控制学会,2012.
  • 8GAIFFE T, COTTREAU Y, FAUSSOT N, et al. Highly compact fiber optic gyrocompass for appli- cations at depths up to 3 000 meters [C]// Procee- dings of the 2000 International Symposium on Un- derwater Technology. Tokyo: IEEE, 2000.
  • 9GU D Q, SHE/MY N E, HAS, SAN T, et al. Coarse alignment for marine SINS using gravity in the inertial frame as a reference [C]// Position Loca tion and Navigation Symposium. Monterey: IEEE, 2008.
  • 10GAO W, ZHANG X, LI Z B, et al. SelLalignment method for strap-down inertial navigation system in moorage [C]//Proceeding of Computing and In telligent Systems. Xiamen: IEEE, 2010.

引证文献4

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部