CORRELATION TECHNOLOGY

Kalman Filtering Algorithm of Projectil Rolling Attitude Geomagnetic Goniometer

  • TIAN Liwei ,
  • CHEN Guoguang ,
  • SUN Hanqin ,
  • YANG Dong ,
  • BAI Dunzhuo
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  • 1 School of Mechatronics Engineering, North University of China, Taiyuan 030051, China
    2 Yuxi Industries Group Co. Ltd, Henan Nanyang 473000, China

Received date: 2016-03-29

  Online published: 2025-05-23

Abstract

In order to reduce the geomagnetic goniometer measured magnetic field vector information solver projectile rolling attitude angle error, Kalman filtering algorithm was used to estimate the projectile rolling angle in this article. Through the analysis of the change rule of rolling angular velocity, the second order approximate expression of rolling movement law of the elastomer was used as system equations of the Kalman filtering algorithm, and the nonlinear relationship between the strength of the magnetic field and the digital output was used as the measurement model of the kalman filtering algorithm. The simulation results showed that the precision of rolling angle and rolling angular velocity obtained by filtering met the requirement of trajectory correction projectile, which could be used to control the trajectory of the trajectory correction ammunition passive segment. Keywords: geomagnetic goniometer; Kalman filtering algorithm: projectile rolling angle measurement

Cite this article

TIAN Liwei , CHEN Guoguang , SUN Hanqin , YANG Dong , BAI Dunzhuo . Kalman Filtering Algorithm of Projectil Rolling Attitude Geomagnetic Goniometer[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2017 , 37(1) : 139 -143 . DOI: 10.15892/j.cnki.djzdxb.2017.01.032

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