超径向可视化技术及其在火箭设计中的应用

孙兴亮; 方杰; 蔡国飙

超径向可视化技术及其在火箭设计中的应用

北京航空航天大学宇航学院,北京 100191

计量
- 文章访问数: 1659
- HTML浏览量: 131
- PDF量: 952
- 被引次数: 0
出版历程
- 收稿日期: 2012-03-30
- 刊出日期: 2013-03-28

Hyper-radial visualization and its application in launch vehicle design

School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

摘要

摘要: 针对传统可视化技术处理高维多目标设计优化问题的不足,对超径向可视化技术开展了研究.该技术将超空间Pareto前沿无损地显示于二维空间,有助于设计人员直观了解复杂的Pareto解集空间、并快速获得较好的权衡设计.此外,在超径向可视化过程中,通过采用权重因子和基于偏好区间的颜色标记原则引入设计偏好,可以辅助设计者选择出更加符合特定偏好的设计方案.将超径向可视化技术应用于近地空间火箭的多目标设计优化,验证了该技术处理高维多目标设计优化问题的可行性和高效性.
- 超径向可视化 /
- 偏好引入 /
- 多目标优化 /
- Pareto解集 /
- 固液火箭发动机
Abstract: Considering the deficiency of traditional visualization methods when dealing with high-dimensional multi-objective design optimization, the hyper-radial visualization (HRV) method was studied. HRV provided a lossless visualization way to represent the hyperspace Pareto frontier, enabled designers to realize the complex Pareto set intuitively, and identified a better trade-off design quickly as well. Besides, with the purpose of assisting designers to choose a more specific optimal design solution, the designers' preference was incorporated by the weights and color marks with range-based preferences. A multi-objective optimization design of a sub-orbit launch vehicle was accomplished by HRV, which indicates the HRV method is feasible and efficient for high-dimensional multi-objective design optimization.
- hyper-radial visualization(HRV) /
- preference incorporation /
- multi-objective optimization /
- Pareto set /
- hybrid rocket motor

HTML

参考文献(15)

[1]	Agrawal G,Lewis K,Bloebaum C.Intuitive design selection using visual n-dimensional Pareto frontier[R]AIAA-2005-1813,2005.
[2]	Chiu P W,Bloebaum C L.Hyper-radial visualization method with range-based preferences for multiobjective decision making[J].Structural and Multidisciplinary Optimization,2010,40(1-6):97-115.
[3]	John R,Amend Jr.A critical review of software tools for multidimensional visualization and related applications[R].AIAA-2008-6088,2008.
[4]	Simpson T W,Spencer D B,Yukish M A, et al.Visual steering commands and test problems to support research in trade space exploration[R].AIAA-2008-6085, 2008.
[5]	Messac C,CHEN Xuan.Visualizing the optimization process in real-time using physical programming[R].AIAA 98-4708,1998.
[6]	Abdul-Jali T M K, Winer E H,Bloebaum C L.Development of a virtual visualization environment for largescale design[R].AIAA 98-2067,1998.
[7]	欧海英,李晓宇,刘云翔,等.平行坐标法的发动机设计优化数据相关性分析[J].科学技术与工程,2011,11(2):388-392. OU Haiying,LI Xiaoyu,LIU Yunxiang,et al.Motor multi-variables optimization data relativity analysis based on parallel coordinates[J].Science Technology and Engineering,2011,11(2):388-392. (in Chinese)
[8]	Insellberg A.Parallel coordinates for visualizing multidimensional geometry:new techniques and technologies for statisticsⅡ[M].Amsterdam:IOS Press,1997.
[9]	Inselberg A,Dimsdale B.Parallel coordinates:a tool for visualizing multidimensional geometry[R].San Francisco,USA:Proceedings of the First 1990 IEEE Conference on Visualization,1990.
[10]	Parashar S,Agrawal G,Bloebaum C L.Estimation of multi-objective Pareto frontier using hyperspace diagonal counting[R].AIAA-2006-6959,2006.
[11]	Agrawal G,Bloebaum C L,Lewis K E.Intuitive visualization of hyperspace Pareto frontier[R].AIAA-2006-726,2006.
[12]	Chiu P W,Bloebaum C L.Hyper-radial visualization(HRV) for decision-making in multiobjective optimization[R].AIAA-2008-907,2008.
[13]	Chiu P W,Naim A M,Lewis K E,et al.The hyperradial visualization method for multi-attribute decision-making under uncertainty[J]International Journal of Product Development,2009,9(1/2/3):4-31.
[14]	Laird D Approaches to training and development[M].New York:Perseus Books,1985.
[15]	Naim A M,Chiu P W,Bloebaum C L,et al.Hyperradial visualization for multi-objective decision-making support under uncertainty using preference ranges: the PRUF method[R].AIAA-2008-6087, 2008.