MIISSILES AND GUIDANCE TECHNOLOGY

Estimation of the Attitude of a Rolling Missile Based on Square Root-unscented Kalman Filter

  • ZOU Yimin
Expand
  • Lanzhou Petrochemical College of Vocational Technology, Lanzhou 730060, China

Received date: 2009-10-14

  Online published: 2025-05-28

Abstract

A scheme of estimating the flight attitude of a rolling missile based on square root-unscented Kalman filter(SR-UKF) was proposed. To get the attitude of an experimental missile, a telemetry scheme based on two-axis liquid-droved rate gyroscope was studied. The telemetric data was processed by SR-UKF to reconstruct the attitude of missile. Aiming at the non-linearity of dynamic model of rolling missile, the scheme of attitude estimation algorithm based on square root-unscented Kaman filter (SR-UKF) was used to eliminate the errors caused by linearization of extended Kalman filter (EKF). Using the dynamic attitude model of low rate rolling missile, a group of iterative filter equations based on SR-UKF were educed. The estimation result obtained form the proposed algorithm was compared with EKF and UKF ones, which showed the effectiveness of the proposed algorithm.

Cite this article

ZOU Yimin . Estimation of the Attitude of a Rolling Missile Based on Square Root-unscented Kalman Filter[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2010 , 30(4) : 41 -44 . DOI: 10.15892/j.cnki.djzdxb.2010.04.035

References

[1]
CHIA Chun-yen. Modeling and simulation of rolling air-frame missile, ADA397650[R]. 2001.
[2]
杜振宇, 石庚辰. 弹体飞行姿态测量方法探讨[J]. 探测与控制学报, 2002 (1): 53- 56.
[3]
张成, 杨树兴. 一种滚转导弹飞行姿态的获取方法[J]. 北京理工大学学报, 2004, 24 (6): 481- 485.
[4]
汪渤, 石永生, 宫德晶,等. 姿态稳定用双轴陀螺仪[J]. 北京理工大学学报, 2002, 22 (3): 390- 392.
[5]
张亚, 王康谊. 弹丸转数测量技术研究[J]. 弹箭与制导学报, 2001, 21 (1): 39- 41.
[6]
Wan E A, van der Merwe R. The unscented Kalman filter for nonlinear estimation[C]// The IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium, Lake Louise, Canada, 2000.
[7]
张友民, 戴冠中, 张洪才. 卡尔曼滤波计算方法研究进展[J]. 控制理论与应用, 1995, 12 (5): 529- 538.
[8]
Julier S, Uhlmann J, Durrant Whyte H F. A new method for the nonlinear transformation of means and covariance in filters and estimators[J]. IEEE Transactions on Automatic Control, 2000, 45 (3): 477- 482.
[9]
Brunke S, Campbell M. Estimation architecture for future autonomous vehicles[C]// The American Control Conference, Anchorage, USA, 2002.
[10]
van der Merwe R, Wan E A. The square root unscented Kalman filter for state and parameter estimation[C]// Proceedings of the International Conference on Acoustics, Speech, and Signal Processing. New York: Inst of Electrical and Electronics Engineers, 2001: 3461- 3464.
Outlines

/