2.845

2023影响因子

(CJCR)

  • 中文核心
  • EI
  • 中国科技核心
  • Scopus
  • CSCD
  • 英国科学文摘

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

Kriging代理模型在对地观测卫星系统优化中的应用

刘晓路 陈盈果 贺仁杰 陈英武

刘晓路, 陈盈果, 贺仁杰, 陈英武. Kriging代理模型在对地观测卫星系统优化中的应用. 自动化学报, 2012, 38(1): 120-127. doi: 10.3724/SP.J.1004.2012.00120
引用本文: 刘晓路, 陈盈果, 贺仁杰, 陈英武. Kriging代理模型在对地观测卫星系统优化中的应用. 自动化学报, 2012, 38(1): 120-127. doi: 10.3724/SP.J.1004.2012.00120
LIU Xiao-Lu, CHEN Ying-Guo, HE Ren-Jie, CHEN Ying-Wu. Application of Kriging Surrogate Model to Optimization of Earth Observation Satellite System. ACTA AUTOMATICA SINICA, 2012, 38(1): 120-127. doi: 10.3724/SP.J.1004.2012.00120
Citation: LIU Xiao-Lu, CHEN Ying-Guo, HE Ren-Jie, CHEN Ying-Wu. Application of Kriging Surrogate Model to Optimization of Earth Observation Satellite System. ACTA AUTOMATICA SINICA, 2012, 38(1): 120-127. doi: 10.3724/SP.J.1004.2012.00120

Kriging代理模型在对地观测卫星系统优化中的应用

doi: 10.3724/SP.J.1004.2012.00120
详细信息
    通讯作者:

    刘晓路 国防科学技术大学博士研究生. 2006年获国防科学技术大学工学学士学位. 主要研究方向为成像卫星调度,对地观测卫星系统优化. 本文通信作者. E-mail: lxl_sunny_nudt@live.cn

Application of Kriging Surrogate Model to Optimization of Earth Observation Satellite System

  • 摘要: 结构优化是对地观测卫星系统(Earth observation satellite system,EOSS)性能提高的关键,但其覆盖性能难以解析计算.为实现EOSS优化,提出了仿真优化的求解思路:构建Kriging代理模型对仿真数据进行拟合,采用代理模型最优和最大化期望提高相结合的机制选择更新点,并定义单位距离的函数改进对更新点进行过滤;提出了改进广义模式搜索算法求解代理模型,搜索步采用遗传算法和序列二次规划算法实现,筛选步采用不完全动态筛选.最后,通过仿真实例和对比实验验证了本文方法的有效性.
  • [1] He Yong-Jun. Effectiveness Optimization Oriented Modeling and Simulation Method for Complex Multi-Satellite System [Ph.D. dissertation],National University of Defense Technology,China,2004 (贺勇军. 面向效能优化的复杂多卫星系统综合建模与仿真方法研究[博士学位论文],国防科学技术大学,中国,2004)[2] Taylor E R. Evaluation of Multidisciplinary Design Optimization Techniques as Applied to the Spacecraft Design Process [Ph.D. dissertation],University of Colorado,USA,1999[3] Draim J E. Continuous global N-duple coverage with 2n+2 satellites. Journal of Guidance,Control and Dynamics,1991,14(1):17-23[4] Evans M J. Optimization of Satellite Constellation for Partial Coverage [Ph.D. dissertation],University of Colorado,USA,1999[5] Pegher D J,Parish J A. Optimizing Coverage and Revisit Time in Sparse Military Satellite Constellations:A Comparison of Traditional Approaches and Genetic Algorithms [Ph.D. dissertation],Naval Postgraduate School,USA,2004[6] Rivett C,Pontecorvo C. Improving Satellite Surveillance through Optimal Assignment of Assets. Technical Report,DSTO-TR-1488,Defence Scence and Technology Organazation,Australia,2003[7] Shaw G B. The Generalized Information Network Analysis Methodology for Distributed Satellite Systems [Ph.D. dissertation],Massachusetts Institute of Technology,USA,1998[8] Jilla C D. A Multiobjective,Multidisciplinary Design Optimization Methodology for the Conceptual Design of Distributed Satellite Systems [Ph.D. dissertation],Massachusetts Institute of Technology,USA,2002.[9] Cohan L E,Jordan E O,Miller D W. Tradespace exploration for a parameterized modular optical space telescope. In:Proceedings of the 48th AIAA/ASC Structures,Structural Dynamics and Materials Conference. Honolulu,USA:AIAA,2007,1-12[10] Richards M G. Multi-attribute Tradespace Exploration for Survivability [Ph.D. dissertation],Massachusetts Institute of Technology,USA,2009[11] Kleijnen J P C. Kriging metamodeling in simulation:a review. European Journal of Operational Research,2007,192(3):707-716[12] Queipo N V,Haftka R T,Shyya W,Goela T. Surrogate-based analysis and optimization. Progress in Aerospace Sciences,2005,41(1):1-28[13] Martin J D,Simpson T W. A study on the use of Kriging models to approximate deterministic computer models. In:Proceedings of the ASME Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Chicago,USA:ASME,2003. 567-576[14] Sakata S,Ashida F,Zako M. An efficient algorithm for Kriging approximation and optimization with large scale sampling data. Computer Methods in Applied Mechanics and Engineering,2004,193(3-5):385-404[15] Liu Xiao-Lu,Chen Ying-Wu,Jing Xian-Rong,Chen Ying-Guo. Optimized Latin hypercube sampling method and its application. Journal of National University of Defense Technology,2011. 33(5):73-77 (刘晓路,陈英武,荆显荣,陈盈果. 优化拉丁方试验设计方法及其应用. 国防科学技术大学学报,2011. 33(5):73-77)[16] Gao Yue-Hua. Optimization Methods Based on Kriging Surrogate Model and Their Application in Injection Molding [Ph.D. dissertation],Dalian Institute of Technology,China,2009 (高月华. 基于Kriging代理模型的优化设计方法及其在注塑成型中的应用. [博士学位论文] 大连理工大学,中国,2009)[17] Audet C,Dennis J E. A pattern search filter method for nonlinear programming without derivatives. SIAM Journal on Optimization,2004,14(4):980-1010[18] Duan Li-Juan,Wu Cheng-Fu,Zhang Wen-Qian,Chen Huai-Min. Optimal design of control law based on SQP. Fire Control and Command Control,2009,34(1):53-56 (段丽娟,吴成富,张闻乾,陈怀民. 基于序列二次规划算法的控制律寻优设计. 火力与指挥控制,2009, 34(1):53-56)
  • 加载中
计量
  • 文章访问数:  1974
  • HTML全文浏览量:  79
  • PDF下载量:  780
  • 被引次数: 0
出版历程
  • 收稿日期:  2011-04-18
  • 修回日期:  2011-08-09
  • 刊出日期:  2012-01-20

目录

    /

    返回文章
    返回