光纤陀螺捷联惯组姿态算法改进研究
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第二炮兵工程大学,第二炮兵工程大学,第二炮兵96163部队

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U666.1

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Research on Improved Strapdown Attitude Algorithm of FOG
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The Second Artillery Engineering University,Xi’an,Unit,The Second Artillery Engineering University,Xi’an

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    摘要:

    采用陀螺角增量信号来进行设计的传统的捷联姿态算法,应用于输出为角速率的干涉型光纤陀螺构成的捷联姿态系统时,不仅在精度上存在局限,而且还由于通过角速率提取角增量而带来更大误差。为此,提出了一种仅以角速率为输入信号,双回路迭代新算法,并在典型圆锥运动条件下以算法漂移误差最小为优化准则,推导了新算法相应的圆锥补偿系数方程和算法误差表达式。仿真结果表明,所设计的改进新算法相比于同角速率抽样值的常规角速率输入的圆锥补偿算法精度显著提高。新算法的提出为光纤陀螺捷联惯导系统圆锥误差补偿提供了一种新的思路。

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    Traditional attitude algorithms of Strapdown inertial navigation system often use incremental angular signals. However, the outputs of interferometer FOG are angular rate signals, it will cause precision restriction and much larger algorithm error by extracting the angular increment. This paper presents a new two-loop iteration algorithm only based on gyro rate input, new algorithms were optimized by minimizing algorithm drift error under classical coning motion, and the coning compensation coefficient equations and algorithm error expressions were deduced.Simulation result shows that the improved new algorithm was greatly improved in accuracy than regular angular mate algorithm with the same number of gyro angular rate samples.The introduction of the new algorithm is a new idea to compensation coning error of strap down inertial navigation(SINS)system with FOG.

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王修,曹创锋,方伟. 光纤陀螺捷联惯组姿态算法改进研究[J]. 科学技术与工程, 2014, 14(4): .
Wang Xiu, Cao Chang-feng, Du Li-long. Research on Improved Strapdown Attitude Algorithm of FOG[J]. Science Technology and Engineering,2014,14(4).

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历史
  • 收稿日期:2013-08-24
  • 最后修改日期:2013-10-08
  • 录用日期:2013-10-23
  • 在线发布日期: 2014-02-28
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