Roll estimation algorithm based on extended Kalman filter with spin compensation

被引：0
|
作者：
Wang J. [1 ,2 ]
Qi K. [2 ]
Yang K. [2 ]
Liang K. [2 ]
Yan J. [1 ]
机构：
[1] School of Astronautics, Northwestern Polytechnical University, Xi'an
[2] Science and Technology on Electromechanical Dynamic Control Laboratory, Xi'an
来源：
Yan, Jie (jyan@nwpu.edu) | 2018年 / Editorial Department of Journal of Chinese Inertial Technology卷 / 26期
关键词：
2-D course correction; Dual-spin stabilized projectile; Extended Kalman filter; Roll estimation; Spin compensation;
D O I：
10.13695/j.cnki.12-1222/o3.2018.01.015
中图分类号：
学科分类号：
摘要：
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. © 2018, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
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页码：87 / 91
页数：4
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