非圆截面弹体气动隐身一体化设计方法

楚 亮; 马东立; 刘忠铁

非圆截面弹体气动隐身一体化设计方法

北京航空航天大学航空科学与工程学院, 北京 100191

详细信息

作者简介:
楚亮(1980-),男,陕西西安人,博士生,jjcl0623@126.com.

中图分类号: V 218
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出版历程
- 收稿日期: 2008-12-08
- 网络出版日期: 2009-10-31

Integrated design of aerodynamic and stealthy performance for missiles with non-circular cross section

School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 从非圆截面弹体气动和隐身设计要求出发,根据多目标优化的基本概念,将Pareto方法与遗传优化搜索相结合,采用了联赛式选择复制算子、小生境技术和Pareto解集过滤器技术使解集具有较好分布特性,并在此基础上应用了旨在提高优化计算效率的响应面方法.通过采用基于N-S方程的数值求解方法计算弹体气动性能,采用物理光学法和物理绕射理论来计算其雷达散射截面积,实现了基于Pareto遗传算法的非圆截面弹体气动与隐身两个目标函数间的折衷与优化,取得了较好的优化设计结果.
- 非圆截面弹体 /
- 气动隐身一体化设计 /
- Pareto遗传算法 /
- 响应面法
Abstract: According to the aerodynamic and stealthy performance requirements in non-circular cross section configuration design, and based on the concept of multi-objective optimization, the Pareto method and genetic algorithm were combined and tournament selective reproductive operator, Niche and Pareto filters technology were used to get the results with favorable distribution. Further more, response surface methodology was proposed to improve optimization efficiency.The aerodynamic performance of the missile was calculated by N-S equation numerical method, and radar cross section was calculated by physical optics and physical theory of diffraction. Compromise and optimization between these two objective functions, aerodynamic and stealthy performance of non-circular cross sections based on Pareto genetic algorithm, were realized, and the results are satisfactory.

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参考文献(1)

[1] Mendenhall M R.战术导弹空气动力学[M].2版.洪金森译.北京:宇航出版社,1999: 6-18 Mendenhall M R.Tactical missile aerodynamics prediction methodogy [M] .2nd ed. Translated by Hong Jinsen. Beijing: Astronautically Publishing House, 1999: 6-18 (in Chinese) [2] Crossley W A, Cook A M, Fanjoy D W, et al. Using the two-branch tournament genetic algorithm for multiobjective design . AIAA-98-1914, 1998 [3] 崔逊学.多目标进化算法及其应用[M].北京:国防工业出版社,2006: 48-58 Cui Xunxue. Multiobjective evolutionary algorithms and their applications [M]. Beijing: National Defense Industry Press, 2006: 48-58 (in Chinese) [4] Myers R H, Montgomeryd C. Response surface methodology: process and product optimization using designed experiments[M]. New York: Wiley,1995:1278-1302 [5] 方开泰,马长兴.正交与均匀试验设计[M].北京:科学出版社,2001:50-59 Fang Kaitai, Ma Changxing. Research of orthogonal and uniform design[M]. Beijing: Scientific Press, 2001:50-59 (in Chinese) [6] 马东立,武哲.飞机翼面类部件的雷达散射截面计算[J].系统工程与电子技术,1994(6):33-40 Ma Dongli, Wu Zhe. The calculation of radar cross section for aircraft airfoils[J]. Journal of Systems Engineering and Electronics, 1994(6):33-40 (in Chinese) [7] 苏伟,高正红,夏露.隐身性能约束的多目标气动外形优化设计[J].空气动力学学报,2006,24(1):137-140 Su Wei, Gao Zhenghong, Xia Lu. Multiobjective optimization design of aerodynamic configuration constrained by stealth performance[J]. Acta Aerodynamica Sinica, 2006,24(1): 137-140 (in Chinese) [8] Sun J, Hansen S G. Transonic nose wave drag of axisymmetric bodies . AIAA-82-0308, 1982 [9] 何开锋,钱炜祺,刘刚,等.飞行器气动隐身一体化设计方法研究[J].空气动力学学报,2006,24(2):169-174 He Kaifeng, Qian Weiqi, Liu Gang,et al. Aircraft multi-objective design of aerodynamic and stealthy performance[J]. Acta Aerodynamica Sinica,2006,24(2):169-174(in Chinese) [10] Signal A, Lapidot E. The aerodynamic characteristic of configurations having bodies with square rectangular and circular cross sections at a Mach number of 0.75 . AIAA-87-2429,1987

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