2022 Fiscal Year Final Research Report
Development of a real-time modeling method for drone dynamics under the influence of damage and disturbance
| Project/Area Number |
20K04918
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 24010:Aerospace engineering-related
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| Research Institution | Kanazawa University |
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Principal Investigator |
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| Project Period (FY) |
2020-04-01 – 2023-03-31
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| Keywords | 損傷検出 / マルチロータ機 / 吹き下ろし速度推定 |
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| Outline of Final Research Achievements |
We have developed a damage detection system that contributes to the safe operation of multirotor aircraft. First, an estimation system for downwash speed of rotor was developed using a small ultrasonic transmitter and receiver. The effect of the damage on the flow field was analyzed by visualizing the area around rotors, and a damage detection algorithm was developed using ultrasonic downwash speed estimation. Verification experiments confirmed that the estimation algorithm was capable of detecting damage of 0.9% of the rotor diameter.
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| Free Research Field |
航空機力学
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| Academic Significance and Societal Importance of the Research Achievements |
ドローン（マルチロータ機）が幅広く利用されるようになったが，同時に故障による墜落が発生し人的・物的損害が生じる危険性も高くなった．そこでドローンの飛行においてもっとも重要なデバイスであるロータ・ブレードの損傷検出技術を開発した．超音波を用いてロータ吹き下ろし速度を推定し，さらにそれから損傷を検出する新しい技術である．吹き下ろし速度は機体ダイナミクスを決定する重要なパラメータであり，事故防止のみならず飛行制御への応用など幅広い展開が期待できる．
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