期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于多模型自适应估计的混合策略微分对策制导 被引量：4

Mixed Strategy Differential Game Guidance Based on Multiple Model Adaptive Estimator
下载PDF
导出
摘要 为有效降低多模型自适应估计器算法的计算量,本文采用目标机动命令构建其离散化假设空间,同时考虑到目标机动随机时间切换所需的检测时间要求,对多模型自适应估计器并行运行的成员滤波器数目进行了简化,基于这种简化的多模型自适应估计器对提出的混合策略微分对策制导方案进行了仿真研究。混合策略微分对策制导综合考虑了两种基本的微分对策制导律的优势和不足,针对最优目标机动随机切换时间段的不同而应用相应的制导策略。仿真结果表明简化的多模型自适应估计器方法可以实现系统状态的较好估计,包括目标加速度的估计,混合策略微分对策制导也具有较好的目标拦截性能。 Based on the research of the MMAE principle,a simplified MMAE is presented to reduce the computational load.With the consideration of the special structure of maneuver command discrete hypothesis space,the elemental filters of the simplified MMAE running in parallel are reduced by using the detection time of the target randomly time switch.Based on this simplified MMAE,a mixed strategy differential game guidance approach is analyzed.The mixed strategy differential game guidance approach considers the advantages and disadvantages of two traditional differential game guidance laws and adopts different guidance strategy for different target maneuver command switch time.The simulation results show that the mixed strategy differential game guidance based on simplified MMAE can provide good states estimation and interception performance compared with other single strategy guidance laws.
作者 花文华 陈兴林 宋申民
机构地区 哈尔滨工业大学航天学院
出处 《宇航学报》 EI CAS CSCD 北大核心 2010年第6期1582-1588,共7页 Journal of Astronautics
基金 国家自然科学基金重大合作项目(607201060062)
关键词 末制导律 多模型自适应估计 微分对策 检测时间 Terminal guidance law Multiple model adaptive estimation Differential game Detection time
分类号 V448.133 [航空宇航科学与技术—飞行器设计]
  • 相关文献

参考文献17

  • 1Forte I,Shinar J.Can a mixed guidance strategy improve missile performance[J].Journal of Guidance,Control,and Dynamics,1988,11(1):53-59.
  • 2Forte I,Shinar J.Improved guidance law desigu based on mixed strategy concept[J].Journal of Guidance,Control,and Dynamics,1989,12(5):739-745.
  • 3Magill D,Optimal adaptive estimation of sampled stochastic processes[J].IEEE Transaction of Automatic Control,1965,AC-10:435-439.
  • 4Maybeck P S.Stochastic models.estimation and control[M].New York:Academic Press,1982:129.
  • 5Turetsky V,Shinar J.Missile guidance laws based on pursuit-evasion game formulations[J].Automatica,2003,39(4):607-618.
  • 6Shinar J.Solution techniques for realistic pursuit-evasion games[M].Advances in control and dynamic systems,New York:Academic Press,1981:63-124.
  • 7Gutman S.On optimal guidance for homing missiles[J].Journal of Guidance and Control,1979,3(4):296-300.
  • 8Shinar J,Shima T.Nonorthodox guidance law development approach for intercepting maneuvering targets[J].Journal of Guidance,Control and Dynamics,2002,25(4):658-666.
  • 9Glizer V Y,Shinar J.Optimal evasion from a pursuer with delayed information[J].Journal of Optimization Theory and Applications,2001,111(1):7-38.
  • 10Shinar J,Steinberg D.Analysis of optimal evasive maneuvers based on a linearized two-dimensional kinematic model[J].Journal of Aircraft,1977,14(8):795-802.

同被引文献28

  • 1Isaacs R. Differential games [ M ]. New York : John Wiley and Sons, 1965.
  • 2Berkovitz L D. Necessary conditions for optimal strategies in a class of differential games and control problems [ J ]. SIAM Journal on Control and Optimization, 1967, 5 ( 1 ) : 1 - 24.
  • 3Friedman A. Differential games [ M ]. Rhode Island : American Mathematical Society, 1974.
  • 4Turetsky V, Shinar J. Missile guidance laws based on pursuit- evasion game formulations [ J ]. Journal of Optimization Theory and Application, 2003, 39(4) : 607 -618.
  • 5Breitner M H, Pesch, Grimm H J. Complex differential games of pursuit-evasion type with state constraints, part 1: necessary conditions for open-loop strategies [ J ]. Journal of Optimization Theory and Applications, 1993, 78 (3) : 419 - 441.
  • 6Breitner M H, Pesch, Grimm H J. Complex differential games of pursuit-evasion type with state constraints, part 2: necessary conditions for open-loop strategies [ J ]. Journal of Optimization Theory and Applications, 1993, 78(3) : 443 -463.
  • 7Dickmanns E, Well K. Approximate solution of optimal control problems using third order hermite polynomial functions [ C ]. Optimization Techniques IFIP Technical Conference, Novosibirsk, Russia, July 1-7, 1974.
  • 8Stoer J, Bulirsch R. Introduction to numerical analysis [ M ]. New York: Springer, 1983.
  • 9Deb K. A fast and elitist multi - objective genetic algorithm: NSGA-II[ J]. IEEE Transactions on Evolutionary Computation, 2002, 6(2) : 182 -197.
  • 10Shinar J,Shima T.Nonorthodox guidance law development approach for intercepting maneuvering targets[J].Journal of Guidance,Control and Dynamics,2002,25(4):658-666.

引证文献4

二级引证文献24

宇航学报
2010年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部