2006 Fiscal Year Final Research Report Summary
Research on Human-ware for Safety Pilot Operation
| Project/Area Number |
15206092
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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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, Graduate School of Engineering, Professor, 大学院工学系研究科, 教授 (30196828)
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| Co-Investigator(Kenkyū-buntansha) |
RINOIE Kenichi The University of Tokyo, Graduate School of Engineering, Professor, 大学院工学系研究科, 教授 (20175037)
TSUCHIYA Takeshi The University of Tokyo, Graduate School of Engineering, Associate Professor, 大学院工学系研究科, 助教授 (50358462)
KARASAWA Kenji The University of Tokyo, Graduate School of Engineering, Research Associate, 大学院工学系研究科, 助手 (60134491)
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| Project Period (FY) |
2003 – 2006
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| Keywords | Aircraft / Safety / Operation Analysis / Neural Network / Optimal Control / Workload |
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| Research Abstract |
Analysis of human pilot's operation is investigated to improve the flight safety. In order to establish "human-ware" of manual operation, researches are carried out in the following three ways ; (1)Neural Network Analysis of Pilot's Information Flow and Control, (2)Pilot's Workload Analysis, and (3)Optimal Control with Low Risk. In the Neural Network Analysis, the mathematical model which can emulate the relationship between the visual cues as input data and the pilot's operation as output data is tried to obtained by using Neural Network. Flight data obtained from not only Flight Simulator but also Real Flight are utilized to make the model. Genetic Algorithms are employed to improve the generalization capacity of the model. The analysis data could make clear the difference of a veteran and a freshman pilot and the role of each visual cue. In Pilot's Workload Analysis, decision making skills were analyzed by using the recorded flight data Analyzed data made clear the difference in management skill between a veteran and a freshman pilot. Additionally, analysis tool based on PC was developed to evaluate the management skill. In Optimal Control Analysis, the neural network is optimized as a flight controller to maximize the success ratio of landing under several conditions. By analyzing the optimized controller, optimal landing operations are investigated. In summary, this research developed the analysis tools or methods which can be utilized to improve the aircraft flight safety.
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