航空学报 > 2011, Vol. 32 Issue (4): 628-635   doi: CNKI:11-1929/V.20110107.1205.000

带子星航天器总体参数多学科设计优化

吴蓓蓓, 黄海, 吴文瑞   

  1. 北京航空航天大学 宇航学院, 北京 100191
  • 收稿日期:2010-04-29 修回日期:2010-06-08 出版日期:2011-04-25 发布日期:2011-04-25
  • 通讯作者: Tel.: 010-82316611 E-mail: hhuang@buaa.edu.cn E-mail:hhuang@buaa.edu.cn
  • 作者简介:吴蓓蓓(1984- ) 女,博士研究生。主要研究方向:卫星总体设计与多学科优化。 Tel: 010-82339234 E-mail: beibeiwu@sa.buaa.edu.cn黄海(1963- ) 男,教授,博士生导师。主要研究方向:飞行器结构和多学科优化,智能结构及其控制。 Tel: 010-82316611 E-mail: hhuang@buaa.edu.cn

Multidisciplinary Design Optimization of Main Parameters of Spacecraft with Sub-vehicles

WU Beibei, HUANG Hai, WU Wenrui   

  1. School of Astronautics, Beihang University, Beijing 100191, China
  • Received:2010-04-29 Revised:2010-06-08 Online:2011-04-25 Published:2011-04-25

摘要: 针对带子星航天器总体参数多学科设计优化(MDO)问题,进行系统任务分析和学科耦合关系分析。考虑有效载荷、轨道和结构等学科设计变量和约束条件,以航天器有效接近区和整星质量的综合指标为目标,建立MDO模型和相应分析模型。利用iSIGHT软件搭建求解平台,采用基于罚函数的协同优化(CO)算法对所建立的MDO模型进行仿真计算,并得到合理结果,验证了所建立的MDO模型的合理性和CO方法求解航天器MDO问题的有效性。对MDO问题的建模和求解过程为航天器MDO问题研究提供了一种典型示例,所建立的各学科分析模型可为同类问题提供参考。

关键词: 航天器, 多学科设计优化, 建模, 分析, 协同优化

Abstract: For the multidisciplinary design optimization (MDO) of spacecraft with sub-vehicles, system mission requirements and disciplinary coupling relations are analyzed. Taking account of the design variables and constraints in payload, orbit and structure disciplines, the MDO model and related analysis models are built, with the comprehensive index involving the effective proximity region and total mass as the objective. Using the iSIGHT software to construct the solving architecture, the MDO model and analysis models are simulated and calculated with the collaborative optimization (CO) method based on penalty function, and reasonable results are obtained finally. The results prove the rationality of the MDO model and the effectiveness of using CO method to solve spacecraft MDO. The research process provides a typical example for the research of the spacecraft MDO and the disciplinary analysis models can be a reference for problems of the same kind.

Key words: spacecraft, multidisciplinary design optimization, model building, analysis, collaborative optimization

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