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舰船惯性导航系统海上无阻尼状态的校准 被引量:12

Correction of SINS based on undamped navigation mode
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摘要 为满足装备高机动舰船的惯性导航系统海上重调的需求,设计了一种无阻尼状态下的校准方案,以保证惯性导航系统的续航导航精度。设计中采用卡尔曼滤波器估计系统误差和陀螺漂移,并利用残差检验方法进行故障检测与隔离。仿真分析和系统试验结果表明:无论载体在静态还是动态机动情况下,采用该方案进行校正后的系统精度都明显提高。该方案具有:滤波估计过程在无阻尼状态下进行,不受舰船运动状态的限制;分别估计陀螺常值漂移和随机漂移,隔离随机漂移对常值漂移量测的影响,精确补偿系统误差和陀螺常值漂移;以及在外参考信息源有误差干扰情况下仍能获得理想的校正效果等特点,具有重要的应用价值。 To meet the reset requirement of the INS in high-speed vessels under nautical condition and ensure the INS's continuous precision, a calibration scheme was proposed which can realize correction of undamped INS with the application of Kalman filter, and the residual error detecting was used to detect and isolate faults. The results of simulation analysis and the dynamic and static system experiments indicate that whatever the state of the carrier is, the precision of system can be improved obviously by this method. The scheme has several characteristics. Firstly, it can work under undamped condition and unlimitedly by sailing trim. Secondly, the estimations of constant gyro-drift and random gyro-drifi can be got respectively, which can separate random gyro-drift from constant one, and system errors and constant gyro-drift can be compensated accurately. Finally, the ideal result can be got even if the information has been disturbed. So this scheme has important application value.
出处 《中国惯性技术学报》 EI CSCD 2008年第6期637-642,共6页 Journal of Chinese Inertial Technology
基金 海装"十一五"预研项目(1010506010101)
关键词 舰船惯性导航系统(SINS) 无阻尼状态 补偿 卡尔曼滤波器 ship's inertial navigation system(SINS) undamped navigation mode compensation Kalman filter
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参考文献8

  • 1黄德鸣 程禄.惯性导航系统[M].哈尔滨:哈尔滨工程大学出版社,1999..
  • 2FU Meng-yin, DENG Zhi-hong, ZHANG Jin-wei. Kalman filter theory and its application for the navigation system[M]. Beijing: Science Press, 2003: 77-79.
  • 3Fitzgerald R L. Divergence of Kalman filters[J]. IEEE Transaction on Auto Control, 1971, 16: 736-747.
  • 4WANG Bin, WANG Jian, Wu Jian-ping. Study on adaptive GPS/INS integrated navigation system[C]//2003 IEEE Proceeding on Intelligent Transportation Systems. Shanghai, China, 2003: 1016-1021.
  • 5穆荣军,田纪超,崔乃刚.组合导航传感器容错滤波算法及应用[J].中国惯性技术学报,2005,13(6):44-49. 被引量:3
  • 6钱华明,雷艳敏,谢常锁.组合导航系统几种滤波方法的分析比较及其性能评价[J].中国惯性技术学报,2006,14(6):95-99. 被引量:16
  • 7方靖,顾启泰,刘学斌,丁天怀.MINS/GPS组合导航系统设计与实验[J].清华大学学报(自然科学版),2007,47(8):1316-1319. 被引量:13
  • 8Sinopoli B, Schenato L, Franceschetti M. Kalman filtering with intermittent observations[J]. IEEE Transactions on Automatic Control, 2004, 49(9): 1453-1464.

二级参考文献23

  • 1帅平,陈定昌,江涌.基于BP人工神经网络的GPS/SINS组合导航算法[J].现代防御技术,2004,32(5):43-48. 被引量:1
  • 2尚捷,顾启泰.捷联惯导现场最优标定方法研究[J].中国惯性技术学报,2005,13(4):18-21. 被引量:13
  • 3吴简彤 王建华.神经网络技术及其应用[M].哈尔滨:哈尔滨工程大学出版社,1997..
  • 4[3]孙枫,袁赣南,张晓红.组合导航系统[M].哈尔滨:哈尔滨工程大学出版社,1998.
  • 5秦永元 张洪钺 汪淑华.Kalman滤波与组合导航原理[M].西安:西北工业大学出版社,1998..
  • 6Fitzgerald R L.Divergence of Kalman filters[J].IEEE Transaction on Auto.Control,1971,(16):736-747.
  • 7Fagin S L.Recursive linear regression theory,optimal filter theory and error analysis of optimal systems[J].IEEE Int.Convent.Record,1964,(12):216-240.
  • 8Sorenson H W,Sacks J E.Recursive fading memory filtering[J].Information,1971,Sci.3:101-119.
  • 9Hyslop G,Gerth D,Kraemer J.GPS/INS integration on the Standoff Land Attack Missile (SLAM)[J].Aerospace and Electronic Systems Magazine,1990,5(7):29-34.
  • 10Snyder S,Tellman L,Torrey P,et al.INS/GPS operational concept demonstration (OCD) high gear program[J].Aerospace and Electronic Systems Magazine,1994,9(8):38-44.

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