Three kinds of basic multidisciplinary optimization problems in flight vehicle design and application of collaborative optimization

Xiang Li*, Wei Ji Li

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

According to the way of information exchange between two different disciplines, three kinds of basic multidisciplinary optimization (MDO) problems in flight vehicle design are presented, that is, bilateral information flow, unilateral information flow and no information flow. A general flight vehicle MDO problem can be treated as the combination of the three kinds no matter how many disciplines it involves and how complex it is, which is helpful to model a MDO problem. Mathematical modeling and computational analysis of the three kinds of problems were performed. The analysis shows that the bilateral information flow problem is the most difficult one because there is a coupled equation system to be solved. To overcome this obstacle, collaborative optimization was applied. In collaborative optimization, the coupled equation system is replaced by system-level consistent constraints, which effectively avoids the computational difficulties in solving coupled equation system.

Original languageEnglish
Pages (from-to)693-697
Number of pages5
JournalYuhang Xuebao/Journal of Astronautics
Volume26
Issue number6
Publication statusPublished - Nov 2005

Keywords

  • Collaborative optimization
  • Flying vehicle
  • Information exchanging
  • Multidisciplinary

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Li, X., & Li, W. J. (2005). Three kinds of basic multidisciplinary optimization problems in flight vehicle design and application of collaborative optimization. Yuhang Xuebao/Journal of Astronautics, 26(6), 693-697.