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成果報告書詳細
管理番号20170000000594
タイトル*平成28年度中間年報 航空機用先進システム実用化プロジェクト 次世代自動飛行システム研究開発
公開日2018/1/31
報告書年度2016 - 2016
委託先名株式会社リコー 国立大学法人東京大学
プロジェクト番号P15005
部署名ロボット・AI部
和文要約
英文要約Title: Research and Development Project for Advanced Aircraft Systems toward Practical Application / Research and Development for Next Generation Automatic Flight Control System (FY2016-FY2017) FY2016 Annual Report

More than half of the fatal aircraft accidents happened during near-ground operations.
The fatal accident happened during the takeoff and initial climb flight phases, and more importantly that 48% of the fatal accidents happened during the final approach/landing flight phases.
Therefore enhancing airplane flight safety during such critical operation phases (i.e. final approach/landing) is an important key to the accident rate reduction.
This project tackles the following two different types of fault scenarios, which cover a dominant part of the causal factors of the fatal aircraft accidents in the world.

1) Navigation and guidance performance recovery from:
a. Sensor failure (lack of GPS, lack of ILS(Instrument Landing System))
b. Proximity of unexpected obstacles

2) Flight control performance recovery from:
a. Actuator failure (jamming, authority deterioration, etc.)
b. Sensor failure (lack of airspeed data, etc.)

These two fault types have completely different natures and so require different approaches.
While the first recovery scenario set will be achieved by proposing precision navigation and approach guidance systems using new onboard sensing technologies, the second one will be achieved by applying fault detection by integrating vision system and fault tolerant control techniques.
Onboard vision sensors are integrated in most of the recently released cars for driver assistance, and contributing to the road traffic safety.
However, their application to airborne systems is still far behind.
This project aims to propose operation-oriented integrated Guidance, Navigation and Control solution for each of above scenarios by development of advanced image processing system.

1)Navigation and guidance performance recovery
The main results achieved during this period are:
・Preliminary specification of vision system was defined.
・First prototype vision system was made.
・Multicopter for evaluating the vision system was made.
・Preliminary simulation for auto landing system was considered.
・Preliminary flight test by fixed wing UAV was conducted.
・Model of lacking GPS and ILS were made.

2)Flight control performance recovery
The main results achieved during this period are:
・Preliminary specification of vision system was defined.
・Preliminary consideration of algorism for monitoring control surface was done.
・Preliminary simulation for rate limit deterioration was considered.
・Developement of the prototype of MuPAL-alpha 6DOF simulation code was performed.
・Flight tests for preliminary check of the fault tolerant controller were performed.
・Flight tests for system identification using MuPAL-alpha were performed
・Software Considerations in Airborne Systems and Equipment Certification such as DO-178C, ARP4754 and ARP4761 were studied.
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