全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

不变结构半弹道式再入飞行器的建模与多模型方法估计

DOI: 10.3724/SP.J.1004.2011.00700, PP. 700-712

Keywords: 半弹道式再入飞行器,多模型方法,模型集设计,F均匀模型集,期望模式补偿集,Monte-Carlo方法

Full-Text   Cite this paper   Add to My Lib

Abstract:

?以配平攻角状态再入的不变结构半弹道式再入飞行器(Semi-ballisticreentryvehicle,SBRV)不同于传统的弹道式再入飞行器(Ballisticreentryvehicle,BRV)和机动再入飞行器(Maneuveringreentryvehicle,MaRV),本文分析了该飞行器再入特征,提出了新的模型并分析了该模型与传统再入模型间的关系.对该再入问题的多模型混合状态估计器引入了F-均匀模型集与期望模式补偿(Expected-modeaugmentation,EMA)集.根据SBRV的圆柱体状模式空间的需求,文中扩展了现有的方法以设计F-均匀模型集,进而提出一种EMA集的实现形式.前者在分布最小失配意义下使估计器最优;后者相比于前者具有更高的估计精度.仿真结果表明,相比于传统Monte-Carlo法生成的模型集,在模型集势相当的情况下这两种模型集对不变结构SBRV再入的初始阶段有更高的模式估计的精度,在该飞行器状态变化剧烈时有更高的混合状态估计精度.

References

[1]  Li X R, Jilkov V P. Survey of maneuvering target tracking: part II. ballistic target models. In: Proceedings of the Conference on Signal and Data Processing of Small Targets. San Diego, USA: SPIE, 2001. 559-581
[2]  Mehra R K. A comparison of several nonlinear filters for reentry vehicle tracking. IEEE Transactions on Automatic Control, 1971, 16(4): 307-319
[3]  Wang Xi-Ji, Li Yi-Li, Zhou Qi-Cheng, Wang Zhong-Lian, Geng Chang-Fu, Feng Xue-Yi. Reentry Technology for Spacecraft (Vol. 1). Beijing: Chinese Aerospace Press, 1991. 1-151(王希季, 李颐黎, 周其成, 王仲莲, 耿长福, 冯学义. 航天器进入与返回技术(上). 北京: 宇航出版社, 1991. 1-151)
[4]  Zhou Feng-Qi, Cui Li-Ming, Zhou Jun. The control of ballistic warhead with variable centroid. Journal of Astronautics, 2000, 21(zl): 107-110(周凤岐, 崔利明, 周军. 弹道式导弹弹头变质心机动控制. 宇航学报, 2000, 21(z1): 107-110)
[5]  Chang C B, Athans M, Whiting R H. On the state and parameter estimation for maneuvering reentry vehicles. IEEE Transactions on Automatic Control, 1977, 22(1): 99-105
[6]  Han Chong-Zhao, Zhu Hong-Yan, Duan Zhan-Sheng. Multi-Source Information Fusion. Beijing: Tsinghua University Press, 2006. 16-67(韩崇昭, 朱洪艳, 段战胜. 多源信息融合. 北京: 清华大学出版社, 2006. 16-67)
[7]  Zhao Z L, Chen H M, Chen G S, Kwan, Li X R. IMM-LMMSE filtering algorithm for ballistic target tracking with unknown ballistic coefficient. In: Proceedings of the SPIE Conference on Signal and Data Processing of Small Targets. Orlando, USA: SPIE, 2006. 62360K.1-62360K.11
[8]  Zhang Shu-Chun, Hu Guang-Da. Target tracking for maneuvering reentry vehicles with interactive multiple model unscented Kalman filter. Acta Automatica Sinica, 2007, 33(11): 1220-1225(张树春, 胡广大. 跟踪机动再入飞行器的交互多模型Unscented卡尔曼滤波方法. 自动化学报, 2007, 33(11): 1220-1225)
[9]  Magill D T. Optimal adaptive estimation of sampled stochastic processes. IEEE Transactions on Automatic Control, 1965, 10(4): 434-439
[10]  Sheldon S N, Maybeck P S. An optimizing design strategy for multiple model adaptive estimation and control. IEEE Transactions on Automatic Control, 1993, 38(4): 651-654
[11]  Li X R, Zhao Z L, Zhang P, and He C. Model-set design, choice, and comparison for multiple-model approach to hybrid estimation. In: Proceedings of the Workshop on Signal Processing, Communications, Chaos and Systems. Newport, USA: SPIE, 2002. 59-92
[12]  Wang Yuan, Fang Kai-Tai. A note on uniform distribution and experiment design. Chinese Science Bulletin, 1981, (2): 65-70(王元, 方开泰. 关于均匀分布与试验设计. 科学通报, 1981, (2): 65-70)
[13]  Li X R, Jilkov V P, Ru J F. Multiple-model estimation with variable structure-part VI: expected-mode augmentation. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(3): 853-867
[14]  Farina A, Ristic B, Benvenuti D. Tracking a ballistic target: comparison of several nonlinear filters. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(3): 854-867
[15]  Burkhardt J, Schottle U. Flight performance and control aspects of a semi-ballistic reentry capsule. In: Proceedings of the AIAA Atmospheric Flight Mechanics Conference. San Diego, USA: AIAA, 1996. 1-11
[16]  Liu Tun, Zhao Jun. Dynamics of Space Vehicle. Harbin: Harbin Institute of Technology, 2003. 131-150(刘暾, 赵钧. 空间飞行器动力学. 哈尔滨: 哈尔滨工业大学出版社, 2003. 131-150)
[17]  Yang Bo, Zhou Jun, Guo Jian-Guo. Study on dynamics modeling of missile with deflectable nose. Acta Aeronautica Et Astronautica Sinica, 2008, 29(4): 909-913(杨博, 周军, 郭建国. 偏转导弹弹头的动力学建模方法研究. 航空学报, 2008, 29(4): 909-913)
[18]  Li X R, Jilkov V P. Survey of maneuvering target tracking. part V: multiple-model method. IEEE Transactions on Aerospace and Electronic Systems, 2005, 41(4): 1255-1321
[19]  Zhao Z L, Chen H M, Chen G S, Kwan C, Li X R. Comparison of several ballistic target tracking filters. In: Proceedings of the American Control Conference. Minneapolis, USA: IEEE, 2006. 2197-2202
[20]  Zhang S C, Hu G D, Liu S H. Target tracking for maneuvering reentry vehicles with reduced sigma points unscented Kalman filter. In: Proceedings of the 1st International Symposium on Systems and Control in Aerospace and Astronautics. Harbin, China: IEEE, 2006. 199-202
[21]  Li X R. Optimal selection of estimate for multiple-model approach with uncertain parameters. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(2): 653-657
[22]  Li X R, Bar-Shalom Y. Multiple-model estimation with variable structure. IEEE Transactions on Automatic Control, 1996, 41(4): 478-493
[23]  Li X R, Zhao Z L, Li X B. General model-set design method for multiple-model approach. IEEE Transactions on Automatic Control, 2005, 50(9): 1260-1276
[24]  Liang Y Q, Han C Z, Duan Z S, Yang Y A. Modeling and estimation to semi-ballistic reentry vehicle. In: Proceedings of the International Colloquium on Information Fusion. Xi'an, China: Xi'an Jiaotong University Press, 2007. 122-130
[25]  Liang Y Q, Li X R, Han C Z, Duan Z S. Model-set design: uniformly distributed models. In: Proceedings of the 48th IEEE Conference on Decision and Control Jointly with the 28th Chinese Control Conference. Shanghai, China: IEEE, 2009. 39-44
[26]  Baram Y, Samdel N R. An information theoretic approach to dynamical systems modeling and identification. IEEE Transactions on Automatic Control, 1978, 23(1): 61-66
[27]  Fang Kai-Tai, Ma Chang-Xing. Orthogonal and Uniform Experiment Design. Hong Kong: Hong Kong Baptist University, 2000. 157-164(方开泰, 马长兴. 正交与均匀试验设计. 香港: 香港浸会大学, 2000. 157-164)
[28]  Julier S, Uhlmann J, Durrant-Whyte H. A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 2000, 45(3): 477-482

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133