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基于IMU旋转的捷联惯导系统自补偿方法 被引量:41

Auto-compensation method of SINS based on IMU rotation
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摘要 为了有效地抑制惯性器件常值偏差对惯导系统导航精度的影响,提出了基于惯性测量单元(inertial measurement unit,IMU)旋转的自动补偿方法。由于旋转的引入,IMU中陀螺仪和加速度计的常值偏差被调制成正弦信号,通过积分运算可以有效地消除常值偏差对惯导系统导航精度的影响。在分析单、双轴旋转补偿原理的基础上,提出一种改进的单轴旋转调制方法并对该方法进行了理论证明和实验分析。与以往的单轴旋转方式及未采用旋转方式时的导航误差进行了比较,结果表明该方案可以消除所有方向上惯性器件常值偏差的影响,有效地提高系统的定位精度。 To enhance the strapdown inertial navigation precision that is influenced by constant bias of inertial sensors, a self-compensation method based on inertial measurement unit rotation is proposed. Rotary method is applied in strapdown inertial navigation system, which modulates the constant drift of IMU into a periodical variable signal. The constant drift of the sensors can be eliminated effectively by integral. An improved single-axis rotary modulation method, which is based on the principle of compensation with IMU single and double axis rotation, is proposed in this paper. The navigation error is compared with those of traditional single rotary manner and no rotary manner via simulation and experiment. Analyses and experiments show that the effect of the constant bias of the sensors can be eliminated effectively, thus the positioning accuracy can be greatly enhanced.
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第12期2511-2517,共7页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(60775001 60834005)资助项目
关键词 捷联惯导系统 惯性测量单元 自动补偿 旋转调制 常值偏差 strapdown inertial navigation system inertial measurement unit auto-compensation revolution modulation constant bias
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  • 1杨勇,缪玲娟,沈军.Method of Improving the Navigation Accuracy of SINS by Continuous Rotation[J].Journal of Beijing Institute of Technology,2005,14(1):45-49. 被引量:22
  • 2颜苗,翁海娜,谢英.系统参数标定以及惯性元件安装误差测量与补偿技术研究[J].中国惯性技术学报,2006,14(1):27-29. 被引量:30
  • 3王其,徐晓苏.旋转IMU在光纤捷联航姿系统中的应用[J].中国惯性技术学报,2007,15(3):265-268. 被引量:32
  • 4ARULAMPALAM S, MASKELL S, GORDON N. A tutorial on particle filters for online non-linear/non-gaussian bayesian tracking [ J ]. IEEE Transaction on Signal Processing, 2002,50(2) : 174-188.
  • 5DOUCET A, GORDON N J. Sequential Monte Carlo methods in practice [ M ]. New York : Springer-Verlag, 2001.
  • 6DOUCET A, GORDON N J. On sequential simulation- based methods for bayesian filtering[ M ]. Technical Target Track, SPIE Signal and Data Processing of Small Targets, 1999.
  • 7LIU J S, CHEN R. Sequential Monte Carlo methods for dynamic systems[J]. Journal of the American Statistical Association, 1998 : 1032-1044.
  • 8CRISAN D, DOUCET A. Convergence of sequential Monte Carlo methods, technical report CUED/F-INFENG/TR381 [ R]. Signal Processing Group, Department of Engineering, University of Cambridge, 2000:65-86.
  • 9MERVE R V, DOUCET A. The unscented particle filter [ R]. Technical Report CUED/F-INFENF TR 380, 2000.
  • 10ATHANS M, WISHNER R P, BERTOLINI A. Suboptimal state estimation for continuous time nonlinear systems from discrete noisy ts [ J ]. IEEE Transactions on Automatic Control, 1968(13) :504-514.

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