Autonomous determination of orbit for probe around asteroids using unscented Kalman filter 被引量：1

Autonomous determination of orbit for probe around asteroids using unscented Kalman filter

下载PDF

导出

摘要 The observed images of the asteroid and the asteroid reference images are used to obtain the probe-to-asteroid direction and the location of the limb features of the asteroid in the inertial coordinate. These informa-tion in combination with the shape model of the asteroid and attitude information of the probe are utilized to ob-tain the position of the probe. The position information is then input to the UKF which determines the real-timeorbit of the probe. Finally, the autonomous orbit determination algorithm is validated using digital simulation.The determination of orbit using UKF is compared with that using extended Kalman filter (EKF), and the resultshows that UKF is superior to EKF. The observed images of the asteroid and the asteroid reference images are used to obtain the probe-to-asteroid direction and the location of the limb features of the asteroid in the inertial coordinate. These information in combination with the shape model of the asteroid and, attitude information of the probe are utilized to obtain the position of the probe. The position information is then input to the UKF which determines the real-time orbit of the probe. Finally, the autonomous orbit determination algorithm is validated using digital simulation. The determination of orbit Using UKF is compared with that using extended Kalman filter (EKF), and the result shows that UKF is superior to EKF.

作者崔平远崔祜涛黄翔宇栾恩杰

机构地区 Deep Space Exploration Research Center China National Space Administration Beijing

出处《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第3期229-234,共6页 哈尔滨工业大学学报（英文版）

关键词探测环绕小行星自主轨道确定无线索卡尔曼滤波器扩展卡尔曼滤波器 unscented Kalman filter extended Kalman filter autonomous determination of orbit probe around asteroids

分类号 V412.41 [航空宇航科学与技术—航空宇航推进理论与工程]

引文网络
相关文献

参考文献16

1Julier S J;Uhlman J K.A New Approach for Filtering Nonlinear Systems[C],1995.
2SHYAM B;JOSEPH E R;STEPHEN P S.Autonomous nucleus tracking for comet/asteroid encounters: the STARDUST example[C],1998(05).
3Mortari D.Moon-sun attitude sensor[J],1997(03).
4GERMAN D;FRIEDLANDER A L.A simulation of orbits around asteroids using potential field modelling,1991.
5WAN E A;MERWE VAN DER R;NELSON A T.Dual estimation and the unscented transformation,2000.
6WAN E A;R Van der Merwe.The unscented Kalman filter for nonlinear estimation[C],2000.
7Julier S J;Uhlmann J K.A New Extension of the Kalman Filter to Nonlinear Systems,1997.
8Wan E A;VAN DER MERWE R.Kalman Filtering and Neural Networks,2001.
9Miller J K;ANTREASIAN P G;GASKELL R W.Determination of Eros physical parameters for NEAR earth asteroid rendezvous orbit phase navigation,1999.
10Veverka J;THOMAS P C.Imaging of asteroid 433Eros during NEAR' s flyby reconnaissance[J],1999(23).

二级参考文献17

1Greg Welch,Gary Bishop.An Introduction to the Kalman Filter[R].UNC-Chapel Hill,TR 95-041,April 5,2004.
2S J Julier,J K U hlmann.A New Extension of the Kalman Filter to Nonlinear System s[C].P roc.Of AeroSense:The 11th International Symposium on Aerospace /Defence Sensing,Simulation and Controls,Orlando,Florida,1997.
3Eric A.Wan,Rudolph van der Merwe.The Unscented Kalman Filter for Nonlinear Estimation[C].Proceeding s of Symposium 2000 on A daptive Systems f or Signal Processing,Communication and Control (AS-SPCC),IEEE,Lake Louise,Alberta,Canada,Oct,2000.
4S Julier,J K U hlmann.A new approach for filtering nonlinear systems[C].The Proceedings of the American Control Conference,IEEE Press,1995.1628 1632.
5Cui Ping - yuan, Cui Hu - tao, Huang Xiang - yu. Autonomous Determination of Orbit for Probe around Asteroids Using Unscented Kalman Filter[J]. Journal of Harbin Institude of Technology( New Series) ,2003, 10 (3).
6Jo Ryeong Yim, John L. Crasssdis John L. Junkins.Autonomous Orbit Navigation of Interplanetary Spacecraft[ D].AIAA, 2000 - 3936.
7Greg Welch , Gary Bishop . An Introduction to the Kalman Fiher[C]. ewiely. December 8, 1997.
8MOHINDER S GREWAL, ANGUS P ANDREWS. Kalman Fihering: Theory and Practice Using MATLAB Second Edition[ M]. 2002. 245 - 260.
9Peihua, Li and Tianwen Zhang. Unscented Kalman Filter for Visual Curve Tracking[C]. In Proceedings of Statistical Methods in Video Processing, June, 2002 .
10CUI Ping-yuan,CUI Hu-tao,HUANG Xiang-yu.Autonomous determination of orbit for probe around asteroids using unscented Kalman filter[J].Journal of Harbin Institute of Technology (New Series)(S1005-9113),2003,10(3).

共引文献10

1卢敏,殷勇.UPF算法在惯导非线性初始对准中的应用[J].雷达科学与技术,2008,6(1):44-47. 被引量：4
2刘星,赵黎平,赵光恒.UKF与EKF在卫星姿态估计应用中的比较[J].计算机仿真,2008,25(3):48-51. 被引量：3
3隋树林,赵晓伟,梁浩.探测器自主导航的UD-EKF粒子滤波算法研究[J].系统仿真学报,2009,21(12):3549-3551.
4朱学平,杨军,孙杰,祝小平.UKF在反辐射无人机抗目标雷达关机中的应用[J].火力与指挥控制,2009,34(7):100-102. 被引量：6
5李少华,金涛.基于UKF的电力系统动态状态估计[J].重庆电力高等专科学校学报,2011,16(6):59-61.
6胡亚男,甘友谊,王盛玺.卫星发射任务主动段实时弹道算法研究[J].无线电工程,2013,43(4):28-31. 被引量：2
7王延东,贾宏光.组合导航系统滤波器截断误差抑制方法[J].传感技术学报,2014,27(5):616-621. 被引量：3
8袁亮,楚仕彬.基于卡尔曼滤波的无人机姿态测量研究[J].组合机床与自动化加工技术,2015(7):110-113. 被引量：7
9徐晴,施伟璜,彭玉明,谢攀.火星着陆器过渡段飞行组合导航优化仿真[J].计算机仿真,2017,34(8):95-99. 被引量：1
10江宝安,卢焕章.粒子滤波器及其在目标跟踪中的应用[J].雷达科学与技术,2003,1(3):170-174. 被引量：41

同被引文献4

1Greg Welch,Gary Bishop.An Introduction to the Kalman Filter[R].UNC-Chapel Hill,TR 95-041,April 5,2004.
2S J Julier,J K U hlmann.A New Extension of the Kalman Filter to Nonlinear System s[C].P roc.Of AeroSense:The 11th International Symposium on Aerospace /Defence Sensing,Simulation and Controls,Orlando,Florida,1997.
3Eric A.Wan,Rudolph van der Merwe.The Unscented Kalman Filter for Nonlinear Estimation[C].Proceeding s of Symposium 2000 on A daptive Systems f or Signal Processing,Communication and Control (AS-SPCC),IEEE,Lake Louise,Alberta,Canada,Oct,2000.
4S Julier,J K U hlmann.A new approach for filtering nonlinear systems[C].The Proceedings of the American Control Conference,IEEE Press,1995.1628 1632.