An automatic multidisciplinary design optimization framework and its application to launch vehicle

Hua Su, Chunlin Gong, Liangxian Gu

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Multidisciplinary Design Optimization (MDO) is the specific technique to optimize engineering problem with complex disciplines. But it's hard to select the proper MDO architecture to settle these complex problem efficiently and automatically. This paper proposed an automatic multidisciplinary design optimization framework with brief definition and clear process. Disciplinary relation matrix (DRM) is proposed to describe the coupling relationship according to disciplinary input/output variables, and the MDO definition has been reformulate to adopt the new interfaces. Based on these, a universal MDO solving procedure is proposed to establish an automated and efficient way for MDO modeling and solving. This is implemented by an object-oriented framework in C++ environment, which is called as Automatic Fast Solving Environment for MDO (AFSEMDO). And a X37B-like launch vehicle MDO problem is modeled and solved in the proposed MDO framework. Six disciplines are considered, there are geometry, aerodynamic, structure, trajectory, Mass and Control. Result shows these MDO framework can evaluate MDO problem automatically and efficiently, and could provide a more simplified way to solve complex MDO problems.

源语言英语
主期刊名68th International Astronautical Congress, IAC 2017
主期刊副标题Unlocking Imagination, Fostering Innovation and Strengthening Security
出版商International Astronautical Federation, IAF
1399-1406
页数8
ISBN(印刷版)9781510855373
出版状态已出版 - 2017
活动68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 - Adelaide, 澳大利亚
期限: 25 9月 201729 9月 2017

出版系列

姓名Proceedings of the International Astronautical Congress, IAC
3
ISSN(印刷版)0074-1795

会议

会议68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017
国家/地区澳大利亚
Adelaide
时期25/09/1729/09/17

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