期刊文献+

基于能观度分析的信息融合组合导航方法研究 被引量:1

Observability Analysis Based Information Fusion Integrated Navigation
在线阅读 下载PDF
导出
摘要 以观测模型能观度为基础,提出了一种基于能观度分析的信息融合方法。首先分析了影响脉冲星导航的主要误差来源,然后以火星环绕段为例,结合火星的两颗卫星中心矢量观测模型,通过格莱姆矩阵能观度分析方法考察观测模型的能观度。在能观度分析的基础上提出了一种观测信息系数分配方案。研究了适用于组合导航非线性问题的UKF滤波方法。通过数学仿真,验证了该方案的有效性。 Based on observability analysis of the model, a data fusion method is proposed. Firstly, the principle of X-ray pulsar is introduced, and main error sources affecting the navigation accuracy are ana- lyzed. And then, by taking the circle phase of Mars for example, the observability of the model based on the line of sight from the spacecraft to Phobos and Deimos is examined. An effective coefficient allocation scheme of information is proposed on the basis of the resulted observability. Finally, the schedule is demonstrated by using numerical simulation.
出处 《航天控制》 CSCD 北大核心 2011年第2期31-36,41,共7页 Aerospace Control
基金 国家863计划(2008AA12A203) 基础科研(A0320080019)资助项目
关键词 自主导航 脉冲星 能观度 信息融合 Pulsar Autonomous navigation Observability Information fusion
  • 相关文献

参考文献2

二级参考文献7

  • 1Bhaskaran S,Riedel J E,Synnott S P,et al.The Deep Space 1 Autonomous Navigation System:A Post-flight Analysis[C].AIAA/AAS Astrodynamics Specialist Conference,Denver,CO,USA,Aug 2000,AIAA-2000-3935.
  • 2Bhaskaran S,Desai D,Dumont P J,et al.Orbit Determination Performance Evaluation of the Deep Space 1 Autonomous Navigation System[C].AAS/AIAA Space Flight Mechanics Meeting,Monterrey,California,USA,February 1998,AAS 98-1931.
  • 3Riedel J E,Bhaskaran S,Desai S,et al.Deep Space 1 Technology Validation Report-autonomous Optical Navigation[R].JPL Publication 00-10,Jet Propulsion Laboratory,Pasadena,CA,USA,October,2000.
  • 4Kuhitschek D G,Mastrodemos N,Werner R,et al.Deep Impact Autonomous Navigation:The Trials of Targeting the Unknown[C].29th Annual AAS Guidance and Contrul Conference,Breckenridge,Colorado,USA,February 4-8,2006,AAS 06-081.
  • 5Daum F.Nonlinear Filters:Beyond the Kalman Filter[J].IEEE Aerospace and Electronic Systems,2005,8 (20):57-68.
  • 6Julier S J,Uhlmann J K,Durrant W H F.A New Approach for Filtering Nonlinear Systems[C].Proc of the American Control Conf,Seattle,Washington,USA June1995:1628-1632.
  • 7Nikos Mastrodemos,Daniel G. Kubitschek,Stephen P. Synnott. Autonomous Navigation for the Deep Impact Mission Encounter with Comet Tempel 1[J] 2005,Space Science Reviews(1-2):95~121

共引文献40

同被引文献90

  • 1Gomez M. A typical spacecraft autonomy system [C]//IMCL Workshop on Machine Learning for AutonomousSpace Applications, 2003.
  • 2Cancro G J. APL spacecraft autonomy: then, now,andtomorrow [J]. Johns Hopkins APL Technical Digest,2010,29(3): 226-233.
  • 3Atkinson D J,Smith B D. Autonomy technology at JPL[C]//Proceedings of the 6th International Symposium onArtificial Intelligence, Robotics and Automation in Space,2001.
  • 4Pell B, Bernard D E,Chien S A,et al. An autonomousspacecraft agent prototype [ J]. Autonomous Robots,1998, 5(1): 29-52.
  • 5Bermyn J. PROBA—project for on-board autonomy [J].Air &- Space Europe, 2000,2(1): 70-76.
  • 6Teston F, Creasey R, Bermyn J, et al. PROBA: ESA,sautonomy and technology demonstration mission[C]//The13th Annual AIAA/USU Conference on SmallSatellites, 1999.
  • 7Gantois K, Teston F, Montenbruck O,et al. PROBA-2mission and new technologies overview[C] //Small SatelliteSystems and Services—the 4S Symposium, 2006.
  • 8陈英武,姚锋,李菊芳,等.求解多星任务规划问题的演化学习型蚁群算法[J].系统工程理论实践,2013,33(3): 791-801.
  • 9Xu R,Cui P Y,Xu X F. Realization of multi-agent plan-ning system for autonomous spacecraft [J], Advances inEngineering Software,2005,36(4) : 266-272.
  • 10Xu R, Cui P Y,Xu X F. Design for autonomous missionplanning system [J]. Aircraft Engineer and AerospaceTechnology: An International Journal, 2003,75(4) : 365-371.

引证文献1

二级引证文献59

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