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Flow Field Image Based Attitude Control for Small Unmanned Aerial Vehicles.

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Title: Flow Field Image Based Attitude Control for Small Unmanned Aerial Vehicles.
Authors: Thompson, Kenneth1 (AUTHOR) kc.thompsoniv@gmail.com, Xu, Yunjun1 (AUTHOR) Yunjun.xu@ucf.edu, Dickinson, Benjamin T.2 (AUTHOR) benjamin.dickinson.1@us.af.mil
Source: IEEE Transactions on Aerospace & Electronic Systems. Dec2019, Vol. 55 Issue 6, p3442-3453. 12p.
Subjects: Drone aircraft, Artificial satellite attitude control systems, Flow sensors, Closed loop systems, Three-dimensional imaging, Rigid bodies, Wing-warping (Aerodynamics)
Abstract: In recent years, microscale flow sensors have been extensively studied and developed, which can measure local flow information such as pressure or wall-shear stress over aerial vehicle surfaces in real-time. It is expected that with those sensors onboard, SUAVs can potentially mimic birds or bats in achieving more stable and agile flights than purely relying on rigid body sensors. However, it is challenging to utilize such a rich amount of surface airflow information to enable agile SUAV flights, which could be in the form of 2-D or 3-D images. In this paper, a flow field image based approach is developed for SUAV attitude control. The proposed robust controllers work directly on flow field images through defined image operators. The asymptotically stability of controllers are proven for the closed-loop systems under bounded uncertainties. The effectiveness of the controllers are demonstrated in simulations for both pitching motion and three-axis attitude motion even under gust wind conditions. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Transactions on Aerospace & Electronic Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 140253351
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  Data: Flow Field Image Based Attitude Control for Small Unmanned Aerial Vehicles.
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  Data: <searchLink fieldCode="AR" term="%22Thompson%2C+Kenneth%22">Thompson, Kenneth</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kc.thompsoniv@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Yunjun%22">Xu, Yunjun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> Yunjun.xu@ucf.edu</i><br /><searchLink fieldCode="AR" term="%22Dickinson%2C+Benjamin+T%2E%22">Dickinson, Benjamin T.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> benjamin.dickinson.1@us.af.mil</i>
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  Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Aerospace+%26+Electronic+Systems%22">IEEE Transactions on Aerospace & Electronic Systems</searchLink>. Dec2019, Vol. 55 Issue 6, p3442-3453. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Drone+aircraft%22">Drone aircraft</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+satellite+attitude+control+systems%22">Artificial satellite attitude control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+sensors%22">Flow sensors</searchLink><br /><searchLink fieldCode="DE" term="%22Closed+loop+systems%22">Closed loop systems</searchLink><br /><searchLink fieldCode="DE" term="%22Three-dimensional+imaging%22">Three-dimensional imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Rigid+bodies%22">Rigid bodies</searchLink><br /><searchLink fieldCode="DE" term="%22Wing-warping+%28Aerodynamics%29%22">Wing-warping (Aerodynamics)</searchLink>
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  Data: In recent years, microscale flow sensors have been extensively studied and developed, which can measure local flow information such as pressure or wall-shear stress over aerial vehicle surfaces in real-time. It is expected that with those sensors onboard, SUAVs can potentially mimic birds or bats in achieving more stable and agile flights than purely relying on rigid body sensors. However, it is challenging to utilize such a rich amount of surface airflow information to enable agile SUAV flights, which could be in the form of 2-D or 3-D images. In this paper, a flow field image based approach is developed for SUAV attitude control. The proposed robust controllers work directly on flow field images through defined image operators. The asymptotically stability of controllers are proven for the closed-loop systems under bounded uncertainties. The effectiveness of the controllers are demonstrated in simulations for both pitching motion and three-axis attitude motion even under gust wind conditions. [ABSTRACT FROM AUTHOR]
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  Label:
  Group: Ab
  Data: <i>Copyright of IEEE Transactions on Aerospace & Electronic Systems is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/TAES.2019.2907342
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 3442
    Subjects:
      – SubjectFull: Drone aircraft
        Type: general
      – SubjectFull: Artificial satellite attitude control systems
        Type: general
      – SubjectFull: Flow sensors
        Type: general
      – SubjectFull: Closed loop systems
        Type: general
      – SubjectFull: Three-dimensional imaging
        Type: general
      – SubjectFull: Rigid bodies
        Type: general
      – SubjectFull: Wing-warping (Aerodynamics)
        Type: general
    Titles:
      – TitleFull: Flow Field Image Based Attitude Control for Small Unmanned Aerial Vehicles.
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            NameFull: Thompson, Kenneth
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            NameFull: Xu, Yunjun
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            NameFull: Dickinson, Benjamin T.
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            – D: 01
              M: 12
              Text: Dec2019
              Type: published
              Y: 2019
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