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基于序列近似优化方法的探空火箭气动/动力一体化优化

Aerodynamic/Power Integrated Optimization of the Sounding Rocket Based on the Sequential Approximate Optimization
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摘要 总体设计是探空火箭研制的先行牵引工作,是一项复杂的系统工程。针对探空火箭总体设计一体化优化问题,基于序列近似优化方法,将代理模型方法应用于优化过程,通过不断更新代理模型和采样点对最优解进行高效预测,是对复杂模型进行优化设计的有效方法。针对某单级固体探空火箭,建立其弹道、动力、气动计算模型,使用序列近似优化方法,以火箭理论弹道顶点高度最大为优化目标,对其气动/动力参数进行一体化优化,最后得到一组较优的总体设计参数。结果表明:整个优化过程模型调用次数少,收敛速度快,工作效率较高,体现了序列近似优化方法的优越性。 Aimed at a certain type of a single stage solid sounding rocket,trajectory,power and aerodynamic models are established in this paper.Taking the maximum height of rocket theory trajectory peak as optimization goal,the aerodynamic/power integrated optimization are realized by using the method of sequential approximate optimization to obtain a set of better parameters in conception design.In the whole process of optimization,the number of times for shifting model is less and the convergence is quick in velocity.
出处 《空军工程大学学报(自然科学版)》 CSCD 北大核心 2014年第6期17-21,共5页 Journal of Air Force Engineering University(Natural Science Edition)
基金 国家自然科学基金资助项目(51105368) 国防科技大学优秀研究生创新资助项目(S130105)
关键词 探空火箭 序列近似优化方法 总体参数优化 sounding rockets sequential approximate optimization optimization of overall parameters
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参考文献10

  • 1李大耀,宋忠宝.探空火箭设计[M].1版.北京:宇航出版社,1993:25-26.
  • 2杨希祥.星箭一体化飞行器总体设计优化研究[D].长沙:国防科技大学,2010.
  • 3Queipo N V, Haftka R T, Shyy W, et al. Surrogate- based analysis and optimization[J]. Progress in aero- space sciences,2005, 41(1) : 1-28.
  • 4Wang D, Wu Z, Fei Y, et al. Structural design em- ploying a sequential approximation optimization ap-proach[J]. Computers : structures, 2014, 134: 75- 87.
  • 5龙乐豪.总体设计(上册)[M].北京:宇航出版社,1989:469-475.
  • 6Kitayama S, Arakawa M, Yamazaki K. Sequential approximate optimization for discrete design variable problems using radial basis function network [J]. Applied mathematics and computation, 2012, 219 (8) : 4143-4156.
  • 7Kitayama S, Arakawa M, Yamazaki K. Sequential approximate optimization using radial basis function network for engineering optimization[J]. Optimiza- tion and engineering, 2011, 12(4): 535-557.
  • 8Xiong Y, Chen W, Apley D, et al. A non-stationary covariance-based Kriging method for metamodeling in engineering design[J]. International journal ifor nu- merical methods in engineering, 2007,71 : 733-756.
  • 9Rodriguez J F, Pdrez V M, Padmanabhan D, et al. Sequential approximate optimization using variable fi- delity response surface approximations [J]. Struct multidise optim,2001, 22(1): 24-34.
  • 10Alexander I J, Forrester, Keane A J. Recent ad- vances in surrogate-based optimization[J]. Progress in aerospace sciences, 2009, 45(1-3): 50-79.

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