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Creation of active observation technology for micro-meteorology using drones

Planned Research

Project AreaMicro-meteorology control: Integrated technology of harmonic prediction and active monitoring of micro-meteorology for future autonomous society
Project/Area Number 20H05752
Research Category

Grant-in-Aid for Transformative Research Areas (B)

Allocation TypeSingle-year Grants
Review Section Transformative Research Areas, Section (II)
Research InstitutionChiba University

Principal Investigator

Suzuki Satoshi  千葉大学, 大学院工学研究院, 准教授 (90571274)

Co-Investigator(Kenkyū-buntansha) 椿野 大輔  名古屋大学, 工学研究科, 准教授 (00612813)
野田 龍介  東京工科大学, 工学部, 講師 (00811267)
劉 浩  千葉大学, 大学院工学研究院, 教授 (40303698)
Project Period (FY) 2020-10-02 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥36,140,000 (Direct Cost: ¥27,800,000、Indirect Cost: ¥8,340,000)
Fiscal Year 2022: ¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2021: ¥12,220,000 (Direct Cost: ¥9,400,000、Indirect Cost: ¥2,820,000)
Fiscal Year 2020: ¥11,700,000 (Direct Cost: ¥9,000,000、Indirect Cost: ¥2,700,000)
Keywords微気象 / 能動的観測 / ドローン / 微気象予測 / ナノドローン / 多階層制御 / 外乱オブザーバ
Outline of Research at the Start

微気象(人工物や人間活動の影響を強く受ける地表付近の詳細気象)予測に有用な建物密集区域の低高度における気象情報を収集し、微気象を観測する技術を創出する。MEMS技術によって開発された超小型センサを、新たに開発する生物規範型ナノドローンに統合し、微気象観測のための階層的なタスク(機体の制御、複数機体や障害物の回避、軌道・地域の選定)を、各階層での最適性を保ちながら制御することで、機動性だけでなく適応性も持ち合わせた能動的観測の実現を目指す。タスクの階層性と市販のマイクロドローンも有効に利用しながら要素技術の開発を進め、微気象予測班と連携しながら、微気象予測システムの創出を目指す。

Outline of Final Research Achievements

Aiming to "create and systematize active observation technology of micro-meteorology using drones with ultra-high density and safety、" this study conducted research on the development of bio-mimetic nano-drones、 information functionalization of micro-drones、 multi-level control technology、 and wind disturbance estimation and robust control using disturbance observers. Joint experiments were conducted to integrate the results of each research group、 and initial findings were obtained regarding wind speed measurement using multiple drones、 disturbance estimation using disturbance observers、 and cooperative wind disturbance estimation.

Academic Significance and Societal Importance of the Research Achievements

本研究で得られた成果によって、本研究領域の中核を成す技術の一つである微気象の能動的観測の実現が可能となった。また、安全性・信頼性の高いナノドローンの開発によって、屋外のビル街区などの従来のドローンの飛行が難しい空間での情報収集(気象情報に限らない)のさらなる高密度化が見込まれる。したがって、自然科学的・社会的なインパクトが非常に大きいと考えられる。

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • Research Products

    (16 results)

All 2022 2021 2020

All Journal Article (5 results) (of which Peer Reviewed: 1 results,  Open Access: 1 results) Presentation (11 results) (of which Int'l Joint Research: 4 results)

  • [Journal Article] Robust Attitude and Angular Rate Control of Multi-rotor UAV using Super Twisting Sliding Mode Control2022

    • Author(s)
      Shimamura Ryosuke、Suzuki Satoshi
    • Journal Title

      Journal of the Robotics Society of Japan

      Volume: 40 Issue: 1 Pages: 62-70

    • DOI

      10.7210/jrsj.40.62

    • NAID

      130008142031

    • ISSN
      0289-1824, 1884-7145
    • Related Report
      2022 Annual Research Report
  • [Journal Article] Compact Sphere-Shaped Airflow Vector Sensor Based on MEMS Differential Pressure Sensors2022

    • Author(s)
      Kotaro Haneda, Kenei Matsudaira, Ryusuke Noda, Toshiyuki Nakata, Satoshi Suzuki, Hao Liu
    • Journal Title

      Sensors

      Volume: 22 Issue: 3 Pages: 1087-1087

    • DOI

      10.3390/s22031087

    • Related Report
      2022 Annual Research Report 2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Characterization of the low-noise drone propeller with serrated Gurney flap2022

    • Author(s)
      Noda Ryusuke、Ikeda Teruaki、Nakata Toshiyuki、Liu Hao
    • Journal Title

      Frontiers in Aerospace Engineering

      Volume: 1 Pages: 2813-2831

    • DOI

      10.3389/fpace.2022.1004828

    • Related Report
      2022 Annual Research Report
  • [Journal Article] Frequency-Based Wind Gust Estimation for Quadrotors Using a Nonlinear Disturbance Observer2022

    • Author(s)
      Asignacion Abner、Suzuki Satoshi、Noda Ryusuke、Nakata Toshiyuki、Liu Hao
    • Journal Title

      IEEE Robotics and Automation Letters

      Volume: 7 Issue: 4 Pages: 9224-9231

    • DOI

      10.1109/lra.2022.3190073

    • Related Report
      2022 Annual Research Report
  • [Journal Article] A Study on Path Planning for Autonomous Drones Considering Wind Risk2022

    • Author(s)
      Kataoka Sakyo、Suzuki Satoshi
    • Journal Title

      Journal of the Robotics Society of Japan

      Volume: 40 Issue: 10 Pages: 915-923

    • DOI

      10.7210/jrsj.40.915

    • ISSN
      0289-1824, 1884-7145
    • Related Report
      2022 Annual Research Report
  • [Presentation] Hierarchical optimal control with information aggregation for groups with different numbers of agents2022

    • Author(s)
      Kento Fujita
    • Organizer
      ACC2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The Aerodynamics in Multiple Flight Modes of a Dragonfly2022

    • Author(s)
      Ryusuke Noda
    • Organizer
      WCC-XV
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] トンボの自由飛翔時におけるスパン効率2022

    • Author(s)
      野田 龍介
    • Organizer
      日本機械学会 第34回バイオエンジニアリング講演会
    • Related Report
      2022 Annual Research Report
  • [Presentation] Performance improvement in Kalman filters Due to Cooperation for multi-agent systems under identical noise2022

    • Author(s)
      Sota Takeuchi
    • Organizer
      CDC2022
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 階層化最適制御則における情報集約が生じる条件について2021

    • Author(s)
      藤田 健人,椿野 大輔
    • Organizer
      第8回計測自動制御学  会制御部門マルチシンポジウム (MSCS2021)
    • Related Report
      2021 Annual Research Report
  • [Presentation] エージェント数が異なる複数グループからなるシステムに対する階層化最適制御2021

    • Author(s)
      藤田 健人,椿野 大輔
    • Organizer
      第65回システム制御情報学会研究発表講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 飛翔昆虫を規範としたデュアルコプターのモデリングと姿勢制御2021

    • Author(s)
      原将太,前沢優斗,中田 敏是,劉 浩
    • Organizer
      Robomech 2021
    • Related Report
      2021 Annual Research Report
  • [Presentation] Robust Altitude Control of Multi-rotor UAV using Super Twisting Sliding Mode Control2021

    • Author(s)
      Ryosuke Shimamura, Satoshi Suzuki
    • Organizer
      The 21st International Conference on Control, Automation and Systems (ICCAS 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 同一ノイズ環境下の複数線形システムに対する Kalman フィルタによる協調状態推定2021

    • Author(s)
      竹内 颯太,椿野 大輔
    • Organizer
      第64 回自動制御連合講演会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 階層化最適制御則における情報集約が生じる条件について2021

    • Author(s)
      藤田 健人,椿野 大輔
    • Organizer
      第8回計測自動制御学会制御部門マルチシンポジウム
    • Related Report
      2020 Annual Research Report
  • [Presentation] 昆虫規範型デュアルコプターの創製2020

    • Author(s)
      原 将太,中田 敏是,劉 浩
    • Organizer
      日本機械学会 第31回バイオフロンティア講演会
    • Related Report
      2020 Annual Research Report

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Published: 2020-10-30   Modified: 2024-01-30  

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