一种高动态条件下惯性星光组合定姿方法

韩礼; 张力军; 蔡洪; 张士峰

doi:10.13700/j.bh.1001-5965.2013.0756

一种高动态条件下惯性星光组合定姿方法

doi: 10.13700/j.bh.1001-5965.2013.0756

国防科技大学航天科学与工程学院, 长沙 410073

基金项目: 航天科技创新基金资助项目(CASC201105)

详细信息

中图分类号: V448.2
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出版历程
- 收稿日期: 2014-01-10
- 网络出版日期: 2014-12-20

A method of stellar-inertial attitude determination under high dynamic condition

College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

摘要

摘要: 针对高动态条件下星图拖尾导致惯性星光组合定姿精度下降甚至无法定姿的问题,提出了一种基于乘性扩展卡尔曼滤波的惯性星光深度组合姿态确定方法.利用星敏感器观测信息修正姿态误差,补偿陀螺漂移,并建立了陀螺输出的角度变化量与星图像移的关系,利用陀螺输出信息估计星图拖尾的模糊参数,采用维纳滤波复原方法对产生拖尾的星图进行复原以提高星图信噪比和观测精度.仿真结果表明该方法可以有效提高星像质心提取精度和星图识别率,对初始姿态误差修正更快,且不存在星图误匹配的情况,保证了惯性星光组合定姿方法在高动态条件下仍能保持较高的精度.
- 姿态确定 /
- 卡尔曼滤波 /
- 拖尾 /
- 维纳滤波 /
- 复原
Abstract: Under high dynamic condition, the accuracy of stellar-inertial attitude determination degraded or even failed to obtain the attitude information because of star image smearing. Based on multiplicative extended Kalman filter (MEKF), a deep integration attitude determination method using gyro and star sensor was proposed. The attitude estimation errors and gyro drifts were compensated by using the star sensor information. The relationship between the gyro output and the pixel motion of the image was established, then the smearing parameters could be estimated by using the gyro output. The star image was restored by using Wiener filter with estimated smearing parameters to improve the signal-to-noise ratio and observation accuracy. Simulation results show that the estimation accuracy of star centroid and the recognition rate of star image can be improved remarkably, the initial attitude estimation errors can be modified faster. The method eliminates recognition mistakes and ensures high accuracy of attitude determination under high dynamic condition.
- attitude determination /
- Kalman filtering /
- smearing /
- Wiener filtering /
- restoration

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参考文献(15)

[1]	曾威,崔玉平,李邦清,等.惯性星光组合导航应用与发展[J].飞航导弹,2011(9):74-79 Zeng Wei,Cui Yuping,Li Bangqing,et al.The application and development of INS/Star integrated navigation[J].Aerodynamic Missile Journal,2011(9):74-79(in Chinese)
[2]	谭汉清,刘垒.惯性星光组合导航技术综述[J].飞航导弹,2008(5):44-51 Tan Hanqing,Liu Lei.The overview of INS/Star integrated navigation[J].Aerodynamic Missile Journal,2008(5):44-51(in Chinese)
[3]	李兴华.高分辨力空间摄影相机像移补偿控制技术研究[D].长春:中国科学院长春光学精密机械与物理研究所,2000 Li Xinghua.A study on image motion compensation control system in high-resolution space camera[D].Changchun:Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,2000(in Chinese)
[4]	van Bezooijen R W H,Anderson K A,Ward D K.Performance of the AST-201 star tracker for the microwave anisotropy probe[C]//AIAA Guidance,Navigation,and Control Conference and Exhibit.Monterey,California:AIAA,2002:1-11
[5]	李清军.面阵CCD相机像移补偿技术[J].计算机测量与控制,2008,16(12):1951-1953 Li Qingjun.IMC technology of the area scan CCD camera[J].Computer Measurement & Control,2008,16(12):1951-1953(in Chinese)
[6]	刘微.运动模糊图像恢复算法的研究与实现[D].长春:中国科学院长春光学精密机械与物理研究所,2006 Liu Wei.The research on restoration algorithm of motion blur image and its realization[D].Changchun:Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,2006(in Chinese)
[7]	彭青建.运动模糊图像复原算法研究[D].成都:电子科技大学,2010 Peng Qingjian.Research of algorithm for restoration of motion blurred images[D].Chengdu:University of Electronic Science and Technology of China,2010(in Chinese)
[8]	张力军.基于多视场星敏感器的航天器姿态确定方法研究[D].长沙:国防科学技术大学,2011 Zhang Lijun.Spacecraft attitude determination for multiple fields of view star sensors[D].Changsha:National University of Defense Technology,2011(in Chinese)
[9]	吴小娟,王新龙.星图运动模糊及其复原方法[J].北京航空航天大学学报,2011,37(11):1338-1342 Wu Xiaojuan,Wang Xinlong.Motion blur of star image and restoration[J].Journal of Beijing University of Aeronautics and Astronautics,2011,37(11):1338-1342(in Chinese)
[10]	Crassidis J L.Sigma-point Kalman filtering for integrated GPS and inertial navigation[C]//AIAA Guidance,Navigation,and Control Conference and Exhibit.San Francisco,California:AIAA,2005:1981-2004
[11]	Markley F L.Attitude error representations for Kalman filtering[J].Journal of Guidance,Control,and Dynamics,2003,26(2):311-317
[12]	张金槐,蔡洪.飞行器试验统计学[M].长沙:国防科技大学出版社,1995:149-152 Zhang Jinhuai,Cai Hong.Experimental statistics of aircraft.Changsha:National University of Defense Technology Press,1995:149-152(in Chinese)
[13]	王海涌,周文睿,赵彦武.简易高斯灰度扩散模型的误差分析及适用性研究[J].光学学报,2012,32(7):115-120 Wang Haiyong,Zhou Wenrui,Zhao Yanwu.Error analysis and applicability study on simplified Gaussian gray diffusion model[J].Acta Optica Sinica,2012,32(7):115-120(in Chinese)
[14]	Mortari D,Neta B.K-vector range searching techniques[J].Advances in the Astronautical Sciences,2000,1051:449-463
[15]	Mortari D,Junkins J L,Samaan M A.Lost-in-space pyramid algorithm for robust star pattern recognition[C]//Guidance and Control Conference.Breckenridge,Colorado:AAS,2001,107:49-68