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Trajectory estimation based on extended state observer with Fal-filter

  • C-L Lin (a1), S-L Hsieh (a2) and Y-P Lin (a2)

Abstract

This paper intends to develop a target trajectory estimation algorithm with application to the ballistic target estimation in the terminal phase. The proposed design is based on the application of a second-order extended state observer (ESO) technique using target information acquired from the seeker to estimate the trajectory of manoeuverable ballistic targets. Satisfactory results have been received while applying the design in estimation of either two-dimenional or three-dimentional target evasive acceleration via computer simulation.

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1.Lin, C.F., Modern Navigation. Guidance and Control Processing, 1991, Prentice Hall, NJ, USA.
2.Lin, C.F., Advanced Control System Design, 1994, Prentice Hall, Englewood Cliffs, NJ, USA.
3.Zarchan, P., Tactical and Strategic Missile Guidance, Fifth Edition, 2007, AIAA, Washington, DC, USA.
4.Kalman, R.E.. A new approach to linear filtering and prediction problems, ASME J Basic Eng, 1960, Series 82d, pp 3545.
5.Brookner, E., Tracking and Kalman Filtering Made Easy, 1998, Wiley-Interscience.
6.Sorenson, H.W., Parameter Estimation: Principles and Problem, 1985, Mariel Dekker, NY, USA.
7.Huang, C.W., Lin, C.L. and Lin, Y.P.. Estimator design for re-entry targets, ISA Transactions, 2014, 53, pp 658670.
8.Farina, A., Ristic, B. and Benvenuti, D.. Tracking a ballistic target: Comparison of several nonlinear filters, IEEE Transactions on Aerospace and Electronic Systems, 2002, 38, pp 854867.
9.Yuan, T., Jian, C. and Zhang, R.. Design of three-dimensional guidance law based on extended state observer for hit-to-kill interceptors, 2009, Proceedings of the IEEE International Conference on Automation and Logistics, Shenyang, China, pp 7378.
10.Yao, y. and Wang, Y.H.. Acceleration estimation of maneuvering targets based on extended state observer, 2009, Control and Simulation Center, Harbin Inst of Technology, Harbin, China.
11.Wang, Y.H.. Design of lateral thrust and aerodynamics blended control system based on auto disturbance rejection controller, 2009, Control and Simulation Center, Harbin Inst of Technology, Harbin, China.
12.Song, J.L., Gan, Z.X. and Han, J.Q.. Study of active disturbance rejection controller on filtering, Control and Design, 2003, 18, (1).
13.Lin, F., Sun, H., Zheng, Q.L. and Xia, Y.F.. Novel extended state observer for uncertain system with measurement noise, Control Theory and Applications, 2005, 22, (1).
14.Wang, Y.H., Yao, Y. and Ma, K.M.. A new type extended state observer for system with measurement noise, 2008, Proceedings of the IEEE International Conference on Automation and Logistics, Qingdao, pp 17451749.
15.Wang, Y.H., Yao, Y. and Ma, K.M.. Analysis and application of Fal function filter, Electric Machines and Control, 2010, 14, (11).
16.Lin, Y.P.. Estimation and Engagement of Ballistic Target with Variable Trajectory, 2013, Doctoral dissertation, National Chung Hsing University, Taichung, Taiwan.

Trajectory estimation based on extended state observer with Fal-filter

  • C-L Lin (a1), S-L Hsieh (a2) and Y-P Lin (a2)

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