期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于修正罗德里格参数的小卫星SSUKF姿态确定 被引量：1

Attitude Estimation Using Modified Rodrigues Parameters Based on SSUKF for Micro-Satellite
下载PDF
导出
摘要 用无陀螺的三轴稳定偏置动量小卫星三轴磁强计和太阳敏感器获得观测矢量,提出了一种基于超球面分布采样Unscented变换滤波(SSUKF)和修正罗德里格参数(MRPs)的姿态估计方法,给出了算法模型。SSUKF在保证滤波性能的基础上减少了采样点个数,减轻了星载计算机的负载;用MRPs描述小卫星姿态大幅减少了计算量。某小卫星的仿真结果表明:算法兼顾了精度、收敛速度和鲁棒性,且提高了计算效率,适于小卫星。 According to the observation vector acquired by 3-axial magnetometer and solar sensor for 3-axial stable momentum bias micro-satellite without gyro,an attitude estimation using modified Rodrigues parameters(MRPs) based on spherical simplex unscented transformation Kalman filtering(SSUKF) was put forward in this paper.The model was presented,in which the sampling points were decreased through SSUKF while the filter performance was guaranteed and the computation was reduced through attitude of satellite descr...
作者 郭云飞 吴庆宪 姜长生
机构地区 南京航空航天大学自动化学院
出处 《上海航天》 北大核心 2008年第6期12-15,28,共5页 Aerospace Shanghai
基金 国家自然科学基金(90405011) 航空基金(05C52007)
关键词 小卫星 动量偏置 姿态估计 超球面分布采样Unscented变换滤波算法 修正罗德里格参数 Micro-satellite Momentum bias Attitude estimation Spherical simplex unscented transformation Kalman filter Modified Rodrigues parameters
分类号 V448.2 [航空宇航科学与技术—飞行器设计]
  • 相关文献

参考文献10

  • 1[1]IDAN M.Estimation of Rodrigues parameters from vector observations[J].IEEE Transactions on Aerospace and Electronic Systems,1996,32(2):578-586.
  • 2[2]JULIER S J,UHLMANN J K,DURRANT W H F.A new approach for filtering systems[C].Seattle,Washington:Proceedings of the American Control Conference,1995.
  • 3[3]LEFEBVRE T,BRUYNINCKx H,SCHUTTER J D.Comment on "A new method for the nonlinear transforrnation of means and covarianee sinfihers and estimation"[J].IEEE Transactions on Automatic Control.2002,47(8):1406-1408.
  • 4[4]JULIER S J,UHLMANN J K,DURRANT W H F.A new approach for the nonlinear transformation of means and covariances in filters and estimators[J].IEEE Trans on Automatie Control,2000,45(3):477-482.
  • 5荣思远,崔乃刚.一种基于磁强计的卫星自主导航方法研究[J].上海航天,2006,23(3):16-18. 被引量：8
  • 6杨小会,秦永元.无陀螺下基于修正罗德里格参数的星体姿态确定[J].中国空间科学技术,2006,26(6):56-61. 被引量：3
  • 7潘泉,杨峰,叶亮,梁彦,程咏梅.一类非线性滤波器——UKF综述[J].控制与决策,2005,20(5):481-489. 被引量：231
  • 8[8]JULIER S J,UHLMANN J K.Reduced sigma point filters for the propagation of means and covariances through nonlinear transformations[C].Anchorage,AK:Proceedings of the American Control Conferenee,2002.
  • 9[9]JULIER S J.The spherical simplex unscented transformation[C].Denver,CO:American Control CO,2003.
  • 10[11]SHUSTER IVI D.A survey of attitude representations[J].Journal of the Astronautical Sciences,1993,41(4):439-517.

二级参考文献85

  • 1王建琦,曹喜滨,孙兆伟.基于UKF算法的航天器自主导航研究[J].飞行力学,2004,22(2):41-44. 被引量：12
  • 2Arulampalam S,Maskell S,Gordon N,et al.A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking[J].IEEE Trans on Signal Processing,2002,50(2):174-188.
  • 3Thrun S,Fox D,Burgard W,et al.Robust monte carlo localization for mobile robots[J].Artificial Intelligence,2001,128(1-2):99-141.
  • 4Julier S J,Uhlmann J K,Durrant-Whyten H F.A new approach for filtering nolinear system[A].Proc of the American Control Conf[C].Washington:Seattle,1995:1628-1632.
  • 5Julier S J,Uhlmann J K.A general method for approximating nonlinear transformations of probability distributions[EB/OL].http://www.robots.ox.ac.uk/～siju/work/publications/Unscented.zip,1997-09-27.
  • 6Julier S J,Uhlmann J K.A consistent,debiased method for converting between polar and Cartesian coordinate systems[A].The Proc of AeroSense:The 11th Int Symposium on Aerospace/Defense Sensing,Simulation and Controls[C].Orlando,1997:110 -121.
  • 7Julier S J,Uhlmann J K.A new extension of the Kalman filter to nonlinear systems[A].The Proc of AeroSense:11th Int Symposium Aerospace/Defense Sensing,Simulation and Controls[C].Orlando,1997:54-65.
  • 8Julier S J.A skewed approach to filtering[A].The Proc of AeroSense:12th Int Symposium Aerospace/Defense Sensing Simulation Control[C].Orlando,1998:271-282.
  • 9Julier S J.The spherical simplex unscented transformation[A].American Control Conf[C].Denver,2003:2430-2434.
  • 10Julier S J,Uhlmann J K,Durrant-Whyte H F.A new approach for the nonlinear transformation of means and covariances in filters and estimators[J].IEEE Trans on Automatic Control,2000,45(3):477-482.

共引文献237

同被引文献14

  • 1潘泉,杨峰,叶亮,梁彦,程咏梅.一类非线性滤波器——UKF综述[J].控制与决策,2005,20(5):481-489. 被引量：231
  • 2LERRO D, BAR-SHAOM Y K. Tracking with debiased consistent converted measurements vs. EKF [ J ]. IEEE Transaction on Aerospace and Electron System, 1993, 29 : 1015-1022.
  • 3JULIER S J, UHLMANN J K. Unscented filtering and non- linear estimation [ J ]. Proceedings of IEEE, 2004, 92 ( 3 ) : 401-422.
  • 4ZHAO Lin, WANG Xiaoxu. An adaptive UKF with noise Statistic Estimator[ C]//4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009. Xi'an, China, 2009:614-618.
  • 5KIM K H. The stability analysis of the adaptive fading ex- tended Kalman fiher using the innovation covariance [ J ]. International Journal of Control, Automation, and Systems, 2009, 7( 1 ) :49-56.
  • 6JULIER S J. The scaled unscented transformation [ C ]// Proceedings of the American Control Conference. Anchorage, AK, 2002.
  • 7JULIER S J, UHLMANN J K. Reduced sigma point filters for the propagation of means and covariances through non- linear transformations [ C ]//Proceedings of the American Control Conference. Anchorage, AK, 2002.
  • 8JULIER S J. The spherical simplex unscented transforma- tion[ C ]// Proceedings of the American Control Confer- ence. Denver, Colorado, 2003.
  • 9XIONG K,LIU L D,ZHANG H Y. Modified unscented Kalman filtering and its application in autonomous satellite navigation [ J ]. Aerospace Science and Technology, 2009, 13:238-246.
  • 10SONG Qi,HAN Jian-Da.An Adaptive UKF Algorithm for the State and Parameter Estimations of a Mobile Robot[J].自动化学报,2008,34(1):72-79. 被引量：28

引证文献1

二级引证文献2

上海航天
2008年 第6期

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