An Autonomous Celestial Navigation Method for Deep Space Probe Based on Coplanar Constraint Aided Measurement
-
摘要: 深空探测任务中自主导航测量误差是影响深空探测自主导航系统精度的主要影响因素。针对抑制自主导航测量误差的问题，提出一种平面约束辅助测量的深空探测器自主天文导航方法，该方法在对系统非线性不等式几何平面约束建模的基础上，利用序列二次规划（Sequential Quadratic Programming，SQP）非线性规划方法，对深空探测器自主天文导航系统的非线性不等式约束进行非线性规划，直接辅助减小深空探测器自主导航系统的量测误差；利用CKF-SQP量测优化非线性约束滤波方法，对深空探测器自主导航系统的状态进行估计，进一步减小系统随机误差。仿真结果表明：所提方法可以有效抑制测量误差，实现深空探测器高精度自主导航。该方法可为深空探测器提供一种可行的高精度自主导航方法。Abstract: Measurement error is the main factor that affects the accuracy of the autonomous navigation system for deep space exploration. In this paper,aiming at restraining the measurement error of autonomous navigation system,an autonomous celestial navigation method of deep space probe based on coplanar constrained auxiliary measurement is proposed. Based on the model of the system nonlinear inequality geometric plane constraints, Sequential Quadratic Programming (SQP) is used to deal with the nonlinear inequality constraints of deep space probe autonomous celestial navigation system,which directly aids in reducing the measurement error of the deep space probe autonomous navigation system. CKF-SQP,nonlinear constrained filtering method with measurement optimization, estimates the states of deep space probe autonomous navigation system to further reduce the system random error. Simulation results show that the proposed method can effectively suppress the measurement error and achieve highprecision autonomous navigation of deep space probes. The method can provide a feasible high-precision autonomous navigation method for deep space probe.
-
Key words:
- deep space exploration /
- autonomous navigation /
- celestial navigation /
- nonlinear constraints /
- SQP
-
[1] 房建成,宁晓琳,刘劲. 航天器自主天文导航原理与方法(第2版)[M]. 北京:国防工业出版社,2017; [2] 吴伟仁,王大轶,宁晓琳. 深空探测器自主导航原理与技术[M]. 北京:中国宇航出版社,2011. [3] 王大轶,魏春岭,熊凯. 航天器自主导航技术[M]. 北京:国防工业出版社,2017; [4] 崔平远,徐瑞,朱圣英,等. 深空探测器自主技术发展现状与趋势[J]. 航空学报,2014,35(1):13-28. CUI P Y,XU R,ZHU S Y,et al. State of the art and development trends of on-board autonomy technology for deep space explorer[J]. Acta Aeronautica et Astronautica Sinica,2014,35(1):13-28. [5] 李俊峰,崔文,宝音贺西. 深空探测自主导航技术综述[J]. 力学与实践,2012,34(2):1-9. Li J F,Cui W,Baoyin H. A survey of autonomous navigation for deep space exploration[J]. Mechanics in Engineering,2012,34(2):1-9. [6] 张伟,张恒. 天文导航在航天工程应用中的若干问题及进展[J]. 深空探测学报,2016,3(3):204-213. ZHANG W,ZHANG H. Research on problems of celestial navigation in space engineering[J]. Journal of Deep Space Exploration, 2016,3(3):204-213. [7] SIERKS H,KELLER H U,JAUMANN R,et al. The dawn framing camera[J]. Space science reviews,2011,163(1-4):263-327. [8] SIMON D. Kalman filtering with state constraints:a survey of linear and nonlinear algorithms[J]. IET Control Theory & Applications, 2010,4(8):1303-1318. [9] HARTLEY R.,ZISSERMAN A. Multiple view geometry in computer vision[M]. UK:Cambridge University Press,2003. [10] CAO M,ANDERSON D O,MORSE A S. Localization with imprecise distance information in sensor networks[C]//Proceedings of 44th IEEE Conference on Decision and Control,2005 and 2005 European Control Conference.[S.l.]:IEEE,2005. [11] BISHOP A N,ANDERSON B D O,FIDAN B,et al. Bearing-only localization using geometrically constrained optimization[J]. IEEE Transactions on Aerospace & Electronic Systems,2009,45(1):308-320. [12] SCHITTKOWSKI K,ZILLOBER C. Nonlinear programming:algorithms,software,and applications. System Modeling and Optimization[M]. New York,USA:Springer US,2005:73-107. -
点击查看大图
计量
- 文章访问数: 1233
- HTML全文浏览量: 93
- PDF下载量: 468
- 被引次数: 0
下载:
