Roll estimation algorithm based on extended Kalman filter with spin compensation

Jiawei Wang, Keyu Qi, Kaihua Yang, Ke Liang, Jie Yan

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

According to the rotation features of 2-D trajectory correction fuze of dual-spin stabilized projectile, a method with extended Kalman filter is introduced to solve the roll estimation of correction fuze by using a spin compensation algorithm. Firstly, based on a certain kind of commissioned dual-spin mortar shell, two different simulating rotation circumstances are separately discussed using a spin compensation EKF algorithm. Simulation results show that the estimated absolute error under high spin rate condition is less than 5°, and the absolute error under low rotation circumstance is less than 2.5°. Furthermore, the spin compensation EKF algorithm is also verified in lab test with MEMS three-axis turntable, and the result shows that the absolute error is less than 4° in dynamic varying range from 30r/s to 1r/s.

Original languageEnglish
Pages (from-to)87-91
Number of pages5
JournalZhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology
Volume26
Issue number1
DOIs
StatePublished - 1 Feb 2018

Keywords

  • 2-D course correction
  • Dual-spin stabilized projectile
  • Extended Kalman filter
  • Roll estimation
  • Spin compensation

Fingerprint

Dive into the research topics of 'Roll estimation algorithm based on extended Kalman filter with spin compensation'. Together they form a unique fingerprint.

Cite this