引用本文:王融,熊智,刘建业,钟丽娜.自适应P值映射的惯性/天文角度组合导航算法[J].控制理论与应用,2014,31(5):560~565.[点击复制]
WANG Rong,XIONG Zhi,LIU Jian-ye,ZHONG Li-na.Adaptive P-value mapping integrated algorithm for inertial navigation system and celestial angle integrated navigation system[J].Control Theory and Technology,2014,31(5):560~565.[点击复制]
自适应P值映射的惯性/天文角度组合导航算法
Adaptive P-value mapping integrated algorithm for inertial navigation system and celestial angle integrated navigation system
摘要点击 2241  全文点击 2102  投稿时间:2013-07-25  修订日期:2014-01-13
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DOI编号  10.7641/CTA.2014.30784
  2014,31(5):560-565
中文关键词  组合导航  P值  子集映射  天文角度观测  自适应滤波
英文关键词  integrated navigation  P-value  subset mapping  celestial angle observation  adaptive filter
基金项目  国家自然科学基金资助项目(61374115, 91016019, 60904091); 航空科学基金资助项目(2011ZC52044); 南京航空航天大学博士学位 论文创新与创优基金资助项目(BCXJ10-05); 江苏省高校青蓝工程资助项目; 江苏高校优势学科建设工程资助项目; 国家留学基金委资 助项目; 中央高校基本科研业务费专项资金资助(NP2012505); 江苏省六大人才高峰资助项目(2013-JY-013).
作者单位E-mail
王融* 南京航空航天大学 自动化学院 rongwang@nuaa.edu.cn 
熊智 南京航空航天大学 自动化学院  
刘建业 南京航空航天大学 自动化学院  
钟丽娜 南京航空航天大学 自动化学院
南京航空航天大学 金城学院 
 
中文摘要
      惯性/天文角度组合导航在应用于高动态飞行器时, 动态飞行环境变更会导致星光角度观测量发生程度不 等的偏差, 使得常规组合滤波方法误差显著增大. 为此, 本文提出了基于P值映射的观测质量自主评估及自适应滤 波方法, 并应用于惯性/天文角度组合导航系统. 该方法根据历年可见导航星情况分解冗余观测子集, 再由P值度量 其含有观测量偏差的显著性水平. 在此基础上, 通过遍历每颗导航星所隶属子集得到其观测量质量值, 最后对惯 性/天文角度组合滤波增益进行自适应调节. 仿真结果表明, 本文方法能够实现天文高度角观测质量的自主在线评 估, 有效提高星光观测质量下降情况下惯性/天文角度组合导航的精度和适应性.
英文摘要
      The integration of inertial navigation system (INS) and celestial angle navigation system are affected by flight conditions. When they are applied to highly dynamical aircrafts, there will appear biases in starlight observations as well as additional navigation errors for conventional integrated filtering approach. To solve those problems, we propose a novel P-value mapping-based quality evaluation for observations and introduce the adaptive filtering approach in the INS/celestial angle integrated navigation system. The observed stars are divided into redundant subsets; and the bias level of each subset is evaluated by a P-value. The observation quality of each star is determined based on the P-values of subsets which the star belongs to, and adaptively applied to adjust the gain of INS/celestial angle integrated filter. Simulation results show that the proposed approach can evaluate observation quality online autonomously, and effectively improve the precision and adaptability of the INS/celestial angle integrated navigation system when the starlight observation quality is declined.