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 language | English |
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Pages (from-to) | 693-697 |
Number of pages | 5 |
Journal | Yuhang Xuebao/Journal of Astronautics |
Volume | 26 |
Issue number | 6 |
Publication status | Published - Nov 2005 |
Keywords
- Collaborative optimization
- Flying vehicle
- Information exchanging
- Multidisciplinary