Volume 39 Issue 8
Aug.  2013
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Ma Shuwei, Du Bin, Chen Wanchunet al. Collaborative optimization of hypersonic vehicle based on surrogate model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8): 1042-1047. (in Chinese)
Citation: Ma Shuwei, Du Bin, Chen Wanchunet al. Collaborative optimization of hypersonic vehicle based on surrogate model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, 39(8): 1042-1047. (in Chinese)

Collaborative optimization of hypersonic vehicle based on surrogate model

  • Received Date: 22 Jan 2013
  • Rev Recd Date: 08 Aug 2013
  • Publish Date: 30 Aug 2013
  • The multidisciplinary models of hypersonic vehicle which similar to the X-51A were built, including configuration, aerodynamics, propulsion, mass, heat and trajectory. The collaborative optimization (CO) method which is one of the multidisciplinary design optimization (MDO) method was used, the surrogate models of two subsystem optimizers and trajectory model were built to replace the real models which are time-consuming in the process. Meanwhile, multidisciplinary feasible (MDF) method was used to calculate for comparison. The results show that both the optimization results are basically the same, the mass of the vehicle is 15.2% lower and the range is 63.5% higher than the initial vehicle after optimization,and the computational efficiency has also been greatly improved by using the surrogate models. The validity of the CO based on surrogate model applying to hypersonic vehicle design is verified.

     

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  • [1] Bowcutt K G.Multidisciplinary optimization of airbreathing hypersonic vehicles[J].Journal of Propulsion and Power,2001,17(6) :1184-1190 [2] Tsuchiya T,Takenaka Y,Taguchi H.Multidisciplinary design optimization for hypersonic experimental vehicle[J].AIAA Journal,2007,45(7):1655-1662 [3] 车竞,王文正,何开锋.高超声速飞行器并行子空间优化设计[J].航空动力学报,2010,25(4):912-917 Che Jing,Wang Wanzheng,He Kaifeng.Concurrent subspace optimization design of hypersonic cruise vehicle[J].Journal of Aerospace Power,2010,25(4):912-917(in Chinese) [4] Kroo I,Altus S,Sobieszczanski-Sobieski J,et al.Multidisciplinary optimization methods for aircraft preliminary design[R].AIAA 94-4235,1994 [5] 李响,李为吉.利用协同优化方法实现复杂系统的分解并行设计优化[J].宇航学报,2004,25(3):300-304 Li Xiang,Li Weiji.A new collaborative optimization algorithm and its applications to complex system parallel design[J].Journal of Astronautics,2004,25(3):300-304(in Chinese) [6] 穆雪峰,姚卫星,余雄庆,等.多学科设计优化中常用代理模型的研究[J].计算力学学报,2005,22(5):608-612 Mu Xuefeng,Yao Weixing,Yu Xiongqing,et al.A survey of surrogate models used in MDO[J].Chinese Journal of Computational Mechanics,2005,22(5):608-612(in Chinese) [7] Bolender M A,Doman D B.Nonlinear longitudinal dynamical model of an air-breathing hypersonic vehicle[J].Journal of Spacecraft and Rockets,2007,44(2):374-387 [8] Rodriguez A A,Dickeson J J,Cifdaloz O.Modeling and control of scramjet-powered hypersonic vehicles:chanllenges,traneds,&tradeoffs[R].AIAA 2008-6793,2008 [9] Chaput A J.Preliminary sizing methodology for hypersonic vehicles[J].Journal of Aircraft,1992,29(2):172-179 [10] 罗世彬.高超声速飞行器机体/发动机一体化及总体多学科设计优化方法研究[D].长沙:国防科学技术大学航天与材料工程学院,2004 Luo Shibin.Resrarch on airframe/engine in integration issues and multidisciplinary optimization methods for air-breathing hypersonic vehicle[D].Changsha:Inst of Aerospace & Material Engineering,National University of Defense Technology,2004(in Chinese) [11] 许林.飞行器MDO过程及相关技术研究与应用[D].长沙:国防科学技术大学航天与材料工程学院,2009 Xu Lin.Research and application of aerospace vehicle MDO process and related technologies[D].Changsha:Inst of Aerospace & Material Engineering,National University of Defense Technology,2009(in Chinese)
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