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向小天体着陆的自主导航研究 被引量:1

Autonomous Navigation for Landing on Small Celestial Body
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摘要 研究了空间飞行器向小天体着陆阶段基于导航相机和激光测距仪的自主光学导航方案。采用扩展卡尔曼滤波方法设计了导航滤波器。利用数值仿真验证了其系统性能 ,并着重分析了测量误差、初始状态误差、参数误差等各种误差源对导航滤波器的影响。 An autonomous optical navigation scheme for landing of spacecraft on a small celestial body based on navigation camera and laser range finder measurements was studied. The navigation filter was designed using extended Kalman filtering technique. Numerical simulations were used to demonstrate the system performance and to analyze the influence of various error sources including observation errors, initial state errors and parameter errors upon the filter. Simulation shows the filter's performance is sensitive to the error of the a priori spin rate of the target body.
出处 《高技术通讯》 EI CAS CSCD 2002年第8期42-46,共5页 Chinese High Technology Letters
基金 86 3高技术资助 86 3 2 5 3.4 国防"十五"民用航天预研资助
关键词 自主导航 小目标天体 空间探测器 导航滤波器 着陆阶段 Autonomous navigation, Small celestial body
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参考文献3

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  • 2杨放琼,彭高明,谭青.深海自行式集矿机的定位与综合导航[J].中山大学学报(自然科学版),2006,45(3):39-42. 被引量:3
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  • 4Zavlangas P G, Tzafestas S G. Industrial robot navigation and obstacle avoidance employing fuzzy logic. Journal of Intelligent and Robotic Systems, 2002, 6(27) : 85-97.
  • 5Tao Y Q, Hu H S. A novel sensing and data fusion system for 3D arm motion tracking in tele-rehabilitation. IEEE Transactions on Instrumentation and Measurements, 2008, 57 ( 5 ) : 1029-1040.
  • 6Ryde J, Flu H S. 3D laser range scanner with hemispherical field of view for robot navigation. In: Proceedings of the Conference on Advanced Intelligent Meehatronics, Xi' an, China, 2008. 891-896.
  • 7Won M C, Cha H S, Shin S C. Development of an extended Kalman filter algorithm for the localization of underwater mining vehicles. In: Proceedings of the 6th Isope Ocean Mining Symposium, Changsha, China, 2005. 175-180.
  • 8Le A T. Modelling and control of tracked vehicles: [ Ph. D dissertation]. Sydney : Department of Mechanical and Mechatronic Engineering, The University of Sydney, 1999.64-79.
  • 9Meng Q H, Sun Y C, Cao Z L. Adaptive extended Kalman filter (AEKF) based mobile robot localization using sonar. Robotica, 2000, 18:459-473.
  • 10Vincenzo L, Bnmo S, Luigi V. Adaptive extended Kalman filtering for visual motion estimation of 3D objects. Control Engineering Practice, 2007,15( 1 ) : 123-134.

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