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MEMS惯性测量组件动基座对准研究 被引量:1

Research on the Alingnment of In-motion MEMS IMU
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摘要 主要研究了其在动基座条件下的误差方程,进行了误差方程的分析,并用广义卡尔曼滤波方法进行了动基座条件下MEMS惯性测量组件的对准研究。最后,给出了该对准方法的仿真结果。 The paper mainly research on the error equation of its in-motion, and analysing them. Except of these,the paper also studies the alignment of its in-motin in the way of extend Kalman filter. The simulation result of the alignment method is provided in the end of the paper.
出处 《弹箭与制导学报》 CSCD 北大核心 2007年第5期59-60,64,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 微机械惯性传感器 误差方程 对准 广义卡尔曼滤波 动基座 MEMS inertial sensor error equation alignment extend Kalman filter in-motion
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参考文献4

  • 1Xiaoying Kong. Inertial navigation system algorithms for low cost IMU[D]. PhD Thesis Department of Mechanical and Mechatronie Engineering The University of Sydney, August 27 2000.
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同被引文献7

  • 1付旭,周兆英,熊沈蜀,王劲东.基于EKF的多MEMS传感器姿态测量系统[J].清华大学学报(自然科学版),2006,46(11):1857-1859. 被引量:21
  • 2秦永元.惯性导航[M].北京:科学出版社,2009:263-272.
  • 3Lu Junjie, Zhou Jun, Lu Xiaodong, eta1. The measurement correction of MEMS gyroscope based interlaced Kalman fil- tering[C]// Advanced Materials Research, 2011, 301 - 303 : 1083 - 1088.
  • 4Robert Mahony, Tarek Hamel, Jean M P. Nonlinear com- plementary filters on the special orthogonal group [ J ]. IEEE Transactions on Automatic Control, 2008, 53 (5) : 1203 - 1218.
  • 5Henrik Rehbinder, Hu Xiao-ming. Nonlinear state estima- tion for rigid-body motion with low-pass sensors [ J ]. Sys- tems & Control Letters, 2000, 40:183 - 190.
  • 6Batista P, Silvestre C, Oliveira P, et al. Low-cost attitude and heading reference system: Filter design and experimen- tal evaluation [ C ]/! IEEE 2010, Robotics and Automation (ICRA) International Conference, 2010:2624 - 2629.
  • 7Rchbinde H, Xiaoming Hu. Drift-free attitude estimation for accelerated rigid bodies[ J]. Automatica, 2004, 40(4) :653 - 659.

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