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

Hua Su, Chunlin Gong, Liangxian Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication68th International Astronautical Congress, IAC 2017
Subtitle of host publicationUnlocking Imagination, Fostering Innovation and Strengthening Security
PublisherInternational Astronautical Federation, IAF
Pages1399-1406
Number of pages8
ISBN (Print)9781510855373
StatePublished - 2017
Event68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017 - Adelaide, Australia
Duration: 25 Sep 201729 Sep 2017

Publication series

NameProceedings of the International Astronautical Congress, IAC
Volume3
ISSN (Print)0074-1795

Conference

Conference68th International Astronautical Congress: Unlocking Imagination, Fostering Innovation and Strengthening Security, IAC 2017
Country/TerritoryAustralia
CityAdelaide
Period25/09/1729/09/17

Keywords

  • MDO architecture
  • Multidisciplinary design optimization
  • Problem definition
  • Solving automation

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