Research on Line-of-Sight Rate Estimation of Strapdown Seeker

Article Preview

Abstract:

As a new type of guidance technology, the strapdown imaging guidance technology, which helps improve the system reliability and reduce costs efficiently, has been paid great attention and developed quickly. However, the detecting information of strapdown seeker can’t be used to proportional navigation directly because it is coupled with missile attitude. A method to estimate the inertial Line-of-Sight (LOS) rate of strapdown imaging seeker based on Cubature Kalman filter (CKF) and Tracking-Differentiator (TD) was presented. As there were high nonlinearity in both state and measurement equations and more serious non-Gaussian noise in the measurements, the Extended Kalman filter (EKF) could not completely meet the requirements of filtering. Compared with EKF and Unscented Particle filter (UKF), CKF was a congruent method for states estimating in the conditions of nonlinearity and non-Gaussian noise. CKF was applied to estimate the LOS rate of strapdown imaging seeker. Because measurement noise of missile attitude will be reflected in estimation result, TD was used to decrease noise of the missile attitude measurements for improving the estimation precision. Monte Carlo simulation results show that the proposed method can improve the precision of guidance.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

3739-3744

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Zhou Rui-qing, Liu Xin-hua, Shi Shou-xia, Wang Kai-bin. The Stable tracking technology of strapdown Seeker. Bei Jing: National Defence Industry Press, 2010. (in Chinese).

Google Scholar

[2] Nesline FW, Zarchan P. Line-of-sight Reconstruction for Faster Homing Guidance[J]. Journal of Guidance, Control and Dynamics , 1984, 8: 3-8.

DOI: 10.2514/6.1983-2170

Google Scholar

[3] Joongsup Yun, Chang-Kyung Ryoo,Taek-Lyul Song. Strapdown Sensors and Seeker Based Guidance Filter Design[C]. International Conference on Control, Automation and Systems, 2008: 468-472.

DOI: 10.1109/iccas.2008.4694686

Google Scholar

[4] Zhang Ying-chun, Li Jing-jing, Li Hua-yi. Line of sight rate estimation of strapdown imaging seeker based on particle filter[C]. Proceedings of the 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, 2010: 191-195.

DOI: 10.1109/isscaa.2010.5633193

Google Scholar

[5] JIAO Ying-jie, WANG Xiao, CHEN Zhi-jian, Application of Strapdown Homing Guidance Technology in Short-range Guided Rocket, Journal of Projectiles, Rockets, Missiles and Guidance, 2012, 32(1): 13-16. (in Chinese).

Google Scholar

[6] Han Jingqing, Auto-disturbances Rejection Controller and its Application. Control and design, 1998, 13(1): 19-23 (in Chinese).

Google Scholar

[7] Tian Da-peng, Shen Hong-hai, Dai Ming, Improving the Rapidity of Nonlinear Tracking Differentiator via Feedforward, IEEE Trans. Ind. Electron, 2014, 61(7): 3736-3743.

DOI: 10.1109/tie.2013.2262754

Google Scholar

[8] Y. X. u, C. H. Zheng, D. Sun, B. Y. Duan, A simple nonlinear velocity estimator for high-performance motion control, IEEE Trans. Ind. Electron., 2005. 52(4)1161–1169.

DOI: 10.1109/tie.2005.851598

Google Scholar

[9] Arasaratnam I, Haykin S. Cubature kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1254-1269.

DOI: 10.1109/tac.2009.2019800

Google Scholar