基于DGL/IMM算法的随机机动弹头拦截研究
Ballistic Missile Defense against Random Maneuvering Targets Based on DGL/IMM Algorithm
Received date: 2011-06-24
Online published: 2025-05-29
姜易阳 , 陈万春 . 基于DGL/IMM算法的随机机动弹头拦截研究[J]. 弹箭与制导学报, 2012 , 32(2) : 6 -10 . DOI: 10.15892/j.cnki.djzdxb.2012.02.029
The terminal phase of an encounter between an anti-ballistic missile and a re-entry warhead, which performing a random bang-bang evasive maneuver, was addressed. The missile uses a guidance law derived from linear differential game theory (DGL), which is implemented by using an interacting multiple model algorithm (IMM). Compared with the methods used before, the proposed algorithm not only substantially decreases the computational load, but also improves guidance accuracy. Monte Carlo simulations show that the DGL/IMM algorithm performs well even if the target maneuver model is unknown to the guidance system.
| [1] | Shinar J, Shima T, Kebke A. On the validity of linearized analysis in the Interception of reentry vehicles[C] // AIAA Guidance, Navigation and Control Conference. Boston: AIAA, 1998: 1050- 1060. |
| [2] | Shima T, Oshman Y, Shinar J. Efficient multiple model adaptive estimation in ballistic missile interception scenarios[J]. Journal of Guidance, Control, and Dynamics, 2002, 25 (4): 667- 675. |
| [3] | Zarchan P. Representation of realistic evasive maneuvers by the use of shaping filters[J]. Journal of Guidance and Control, 1979, 2 (4): 290- 295. |
| [4] | 肖乾. 多模型估计理论[J]. 舰船科学技术, 2005, 27 (2): 63- 67. |
| [5] | Blom HAP. An efficient filter for abruptly changing systems[C]// Haddad A. The 23rd IEEE Conference on Decision and Control. Las Vegas: IEEE, 1984: 656- 658. |
| [6] | Zarchan Paul. Tactical and strategic missile guidance[M]. Reston: AIAA, 1997: 155- 161. |
| [7] | Shinar J, Turetsky V, Oshman Y. Integrated estimation/guidance design approach for improved homing against randomly maneuvering targets[J]. Journal of Guidance, Control, and Dynamics, 2007, 30 (1): 154– 161. |
/
| 〈 |
|
〉 |