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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(2): 99-105
XIA Wei-xing, YANG Xiao-dong, SHI Wen-ming, WANG Wang. Loose navigation state algorithm of INS two-point calibration in horizontal damping state[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 99-105. doi: 10.19818/j.cnki.1671-1637.2013.02.015
Citation: XIA Wei-xing, YANG Xiao-dong, SHI Wen-ming, WANG Wang. Loose navigation state algorithm of INS two-point calibration in horizontal damping state[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 99-105. doi: 10.19818/j.cnki.1671-1637.2013.02.015
shu

Loose navigation state algorithm of INS two-point calibration in horizontal damping state

doi: 10.19818/j.cnki.1671-1637.2013.02.015
  • 1.

    No.3 Brigade of Graduate, Navy Submarine Academy, Qingdao 266042, Shandong, China

  • 2.

    Department of Navigational Instrument, Navy Submarine Academy, Qingdao 266042, Shandong, China

More Information
  • Author Bio:

    XIA Wei-xing(1985-), male, doctoral student, +86-532-51858653, 596978805@qq.com

    YANG Xiac-dong(1963-), male, professor, PhD, +86-532-51858653, yangxd@163.com

  • Received Date: 2012-12-15
  • Publish Date: 2013-04-25
    Abstract
  • In order to satisfy high-accuracy navigation and improve comprehensive calibration accuracy, a INS two-point calibration loose navigation state algorithm in horizontal damping state was designed by using extended state observer(ESO).The principle of traditional two-point calibration, navigation state constraint and its shortage were analyzed.The platform horizontal misalignment angles of inertial navigation system were real-timely estimated by using ESO, and traditional two-point calibration was introduced.The algorithm was simulated and numerically verified.Verification result indicates that the estimation result of traditional two-point calibration considerably reduces and even diverges when navigation state constraint can not be satisfied, neverthelessly, loose navigation state algorithm has a stronger applicability not only to reduce restrictive navigation state, but also to improve comprehensive calibration accuracy.Gyro drifts for east, north and position in experiment 1 reduce from 33.5%, 51.2%, 17.9% to 8.0%, 1.8%, 3.1% respectively, and in experiment 2, the drifts reduce from 83.7%, 39.7%, 77.5% to 2.3%, 0.3%, 1.0% respectively.

     

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