| Project/Area Number |
07651120
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Aerospace engineering
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| Research Institution | the University of Tokyo |
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Principal Investigator |
SUZUKI Shinji the University of Tokyo School of Engineering, Professor, 大学院・工学系研究科, 教授 (30196828)
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| Co-Investigator(Kenkyū-buntansha) |
KARASAWA Kenji the University of Tokyo School of Engineering, Assistant, 大学院・工学系研究科, 助手 (60134491)
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| Project Period (FY) |
1995 – 1996
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| Project Status |
Completed (Fiscal Year 1996)
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| Budget Amount *help |
¥2,500,000 (Direct Cost: ¥2,500,000)
Fiscal Year 1996: ¥700,000 (Direct Cost: ¥700,000)
Fiscal Year 1995: ¥1,800,000 (Direct Cost: ¥1,800,000)
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| Keywords | Flight Mechanics / Optimal Control / Aircraft Accidents / Simulator / Man-Machine System |
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| Research Abstract |
The optimal control of an aircraft under the gust winds is investigated in order to establish safety landing and take-off operation of an aircraft. The purposes of this research are summarized as follows ; (1) the establishment of an estimation method of wind vectors acting on a flying aircraft, (2) the determination of control method of an aircraft under the gust winds using an optimal control theory, (3) the investigation of a worst case wind profile against a pilot control of an aircraft, and (4) the confirmation of the research results using a flight simulator which is constructed for this research purpose. Firstly, the wind simulator is designed to make arbitrary wind profiles and to analyze flight results. Secondly, a fuzzy multi-goal programming method is developed to construct a decision model of a human pilot. This method is applied to propose the safe operation of a take-off aircraft under a micro-burst wind. Furthermore, the wind vector estimation method is developed by using accelerometer data of a flying aircraft and the usefulness of the proposed method is confirmed by analyzing both flight simulation data and real flight data. Additionally, the worst case wind profile is studied by using the game theory which introduces an intelligent wind against a aircraft pilot. The numerical results make clear that the micro-burst type wind is the worst wind profile against a controlled aircraft. Finally, recent aircraft accidents caused by the gust wind are investigated to examine the future technological trends.
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