期刊文献+

UKF容错滤波方法在自主导航中的应用研究 被引量:1

Research on the Fault Tolerant UKF Applied on Autonomous Navigation
下载PDF
导出
摘要 地磁场向量可描述成卫星的位置函数,以地磁场强度向量为观测量,利用三轴磁强计的测量信息即可实现近地卫星的自主导航。但当测量值存在野值时,滤波会出现偏差、收敛变慢甚至发散。将UKF滤波容错方法用于磁测自主导航,构造出一种基于残差正交性判别的UKF(Unsend Kalman Filter)容错滤波方法,来实现野值的实时修正和故障诊断,使滤波器具有较强的鲁棒性。仿真结果表明该方法有效。 Magnetic field vector is a function of the satellite' s position. Autonomous LEO satellite navigation can be achieved based on the measurement data of the onboard three axis magnetometer (TAM). For the orbit estimation algorithm based on the measurement of the geomagnetic field vector, when measurement data influenced by oufliers, filtering advents deviation, convergence becomes slow and even diffuses. Based on residual orthogonal UKF(Unscedted Kalman filer) Fault tolerant filtering method, the instant modifying and fault diagnosis are implemented and the filter obtains stronger robustness. Simulation results show the effectivity of the method.
出处 《宇航学报》 EI CAS CSCD 北大核心 2006年第4期605-608,共4页 Journal of Astronautics
关键词 自主导航 UKF 容错滤波 磁强计 Autonomous navigation Unscedted kalman filer Fault tolerant filter Mngnetomete
  • 相关文献

参考文献9

  • 1Wiegand M.Autonomous satellite navigation via kalman filtering of magnetometer data[J].Acta Astronautica,1996,38(4-8):395-403
  • 2psiaki M L,Lejin H,Fox S F.Ground test of magnetometer-based autonomous navigation for low-earth-orbit spacecraft[J].Journal of Guidance,Control and Dynamics,1993,16(1):206-214
  • 3左文辑,宋福香.微小卫星磁测自主导航方法[J].宇航学报,2000,21(2):100-104. 被引量:19
  • 4Carlosa Roithmayr.Contributions of Spherical Harmonics to Magnetic and Gravitational Fields[R].NASA/TM-2004-213007,NASA,March,2004
  • 5Wan E A,R Van Der Merwe R.The unscented Kalman filter for nonlinear estimation[C]// IEEE Proceedings of Symposium 2000 on Adaptive Systems for Signal Processing,Communication and Control,Lake Louise,Alberta,Canada,2000:153-158
  • 6van der Merwe R,Wan E A.The square-root unscented kalman filter for state and parameter-estimation[C]// IEEE International Conference on Acoustics,Speech and Signal Processing,Salt Lake City,UT,USA.2001,l6:3461-3464
  • 7Crassidis J L,Markley F L.Unscented filtering for spacecraft attitude estimation[J].Journal of Guidance,Control,and Dynamics,2003,26(4):536-542
  • 8刘承香,孙枫,陈小刚,曹洁.野值存在情况下组合导航系统的容错技术研究[J].中国惯性技术学报,2002,10(6):12-17. 被引量:16
  • 9柳海峰,姚郁,卢迪,马杰.Kalman滤波新息正交性抗野值法研究[J].电机与控制学报,2003,7(1):40-42. 被引量:25

二级参考文献14

  • 1颜东,张洪钺.基于辨识ARMA模型的野值剔除方法与卡尔曼滤波修正算法[J].信息与控制,1995,24(3):183-188. 被引量:11
  • 2张守信,外弹道测量与卫星轨道测量基础,1992年
  • 3宋文尧,卡尔曼滤波器,1991年
  • 4LEWIS F L. Applied optimal control and estimation[M].Englewood Cliffs, NJ, USA: Prentice-Hall, 1992.
  • 5KELLER J Y. Fault isolation filter design for linear stochastic systems [J]. Automatica, 1999, 35(10): 1701-1706.
  • 6LI C S. PAUL H. Robust design of fault isolation observers [J]. Automatica, 1998, 34(11): 1421-1429.
  • 7YANG S K, LIU T S. State estimation for predictive maintenance using Kalman filter [J]. Reliability Engineering and System Safety, 1999, 66(1): 29-39.
  • 8Brumback B D, Srinath M D. A chi-square test for fault-detection in Kalman filters[J]. IEEE Transactions on Automatic Control. 1978, 32 (6): 552ˉ554.
  • 9REN Da. Failure detection of dynamical systems with the state chi-square test[J]. Journal of Guidance, Control and Dynamics. 1994 , 17(2): 271-277.
  • 10唐斌兵,王正明.异常数据识别的搜索方法[J].中国空间科学技术,1999,19(1):1-6. 被引量:6

共引文献51

同被引文献7

  • 1张同双,陈锋,李晓勇,冯鸿奎.航天测量船INS/GPS/DVL组合导航系统容错滤波方法[J].中国惯性技术学报,2006,14(5):21-23. 被引量:8
  • 2Cork L,Walker R.Sensor Fault Detection for UAVs using a Nonlinear Dynamic Model and the IMM-UKF Algorithm[C]// IDC'07 Information,Detection and Control,2007:230-235.
  • 3DUAN Zhou-hua,CAI Zi-xing,YU Jin-xia.Fault diagnosis and fault tolerant control for wheeled mobile robots under unknown environments[C]//2005 International Conference on Robotics and Automation,2005:3428-3433.
  • 4HOU Shu-ping,YAN Zhe-ping,XU Jian.Implementation of autonomous reconfigured control for AUV based on fault detection and isolation[C]//2007 IEEE International Conference on Mechatronics and Automation,2007:215-220.
  • 5Rapoport I,Oshman Y.A Cramer-Rao-Type estimation lower bound for system with measurement fault[J].IEEE Transactions on Automatic Control,2005,50(9):1234-1245.
  • 6ZHANG Ling-xia,CHEN Ming,HE Hua.A method research on robust fault diagnosis of integrated navigation system[C]// The Eighth International Conference on Electronic Measurement and Instruments,2007:326-330.
  • 7刘承香,孙枫,曹洁.SINS/GPS/DVL组合导航系统的容错研究[J].哈尔滨工程大学学报,2003,24(2):157-160. 被引量:7

引证文献1

二级引证文献6

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