Optimal Design of Two Stage to Orbit Spaceplane Using Hybrid Genetic Algorithm
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- Imamura Shunsuke
- 東京大学大学院工学系研究科航空宇宙工学専攻
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- Kojima Hirohisa
- 東京都立科学技術大学航空宇宙工学専攻
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- Tsuchiya Takeshi
- 東京大学大学院工学系研究科航空宇宙工学専攻
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- Kubota Hirotoshi
- 東京都立科学技術大学航空宇宙工学専攻
Bibliographic Information
- Other Title
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- Hybrid-GAを用いた二段式スペースプレーンの最適設計
- Hybrid GA オ モチイタ ニダンシキ スペースプレーン ノ サイテキ セッケイ
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Abstract
This paper proposes a Hybrid Genetic Algorithm (Hybrid-GA) which is suitable for a large scale multidisciplinary optimization problem such as Two-Stage-To-Orbit (TSTO) spaceplane optimal design problem. The Hybrid-GA is implemented by combining Sequential Quadratic Programming (SQP) method with GA. When constructing the Hybrid-GA, there are three problems that should be solved; 1) decision of optimized variables and discrete method, 2) how to use results of local search, and 3) selection for survival method. These problems are discussed and solved in order to effectively combine SQP method with GA. In order to demonstrate the effectiveness of the proposed Hybrid-GA, the TSTO spaceplane optimal design problem, which consists of weight, aerodynamics, propulsion, and flight trajectory analyses, is investigated using the proposed Hybrid-GA, and the optimal results of Hybrid-GA are compared with that of Simple-GA, and SQP methods. Finally, strategy to achieve the TSTO spaceplane is proposed by comparing the optimal results of changing payload weight and maximum wing load factor of booster.
Journal
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- JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
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JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 54 (630), 279-287, 2006
THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
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Details 詳細情報について
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- CRID
- 1390282679445397248
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- NII Article ID
- 10019370509
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- NII Book ID
- AA11307372
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- ISSN
- 24323691
- 13446460
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- NDL BIB ID
- 8042576
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed