Development of realistic optimization method of TSTO spaceplane - Multi-objective and robust optimization

Koji Shimoyama, Kozo Fujii, Hiroaki Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

As a realistic comprehensive optimization method of the TSTO spaceplane, a multi-objective optimization using a multi-objective genetic algorithm (MOGA) and a robust optimization using a design for six sigma (DFSS) have been developed. The multi-objective optimization revealed the strong trade-off relation between the gross take-off weight and the Orbiter separation time minimizations. It also indicated that the propulsion parameter which controls the flow rate of captured air during supersonic flight plays an important role in this trade-off relation. The robust optimization, in consideration of both the objective function optimality and robustness of the gross take-off weight, indicated that the use of larger thrust engine with less fuel leads to the improvement of optimality. On the other hand, the robustest design did not coincide with the optimum solution in terms of the objective function. This result indicated that it is necessary to balance the enlargement of fuel with the enlargement of engine thrust for the improvement of robustness in the robust optimum solutions.

Original languageEnglish
Title of host publicationCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
Pages1939-1953
Number of pages15
ISBN (Print)1563477165, 9781563477164
DOIs
Publication statusPublished - 2004 Jan 1
Externally publishedYes
EventCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference - Albany, NY, United States
Duration: 2004 Aug 302004 Sep 1

Publication series

NameCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Volume3

Other

OtherCollection of Technical Papers - 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
CountryUnited States
CityAlbany, NY
Period04/8/3004/9/1

ASJC Scopus subject areas

  • Engineering(all)

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