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Tracking Tethered Kite via Kalman Fi...

Huynh, Khanh N.

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Tracking Tethered Kite via Kalman Filter and Sensor Fusion.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Tracking Tethered Kite via Kalman Filter and Sensor Fusion./
作者:	Huynh, Khanh N.
面頁冊數:	133 p.
附註:	Source: Masters Abstracts International, Volume: 52-02.
Contained By:	Masters Abstracts International52-02(E).
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1545816
ISBN:	9781303425806

Tracking Tethered Kite via Kalman Filter and Sensor Fusion.
Huynh, Khanh N.

Tracking Tethered Kite via Kalman Filter and Sensor Fusion. - 133 p.

Source: Masters Abstracts International, Volume: 52-02.

Thesis (M.S.)--University of California, Santa Barbara, 2013.

One of the keys to reducing the world dependence on fossil fuels and the emissions of greenhouse gases is the use of a suitable combination of alternative and green energy sources. In the area of wind energy, recent studies showed that there is enough potential in the total world wind power to sustain the global needs. A new class of generators denoted as HAWP (High Altitude Wind Power) has emerged recently, which exploits the aerodynamic forces generated by the flight of tethered kite to produce electric energy. The key to capture wind energy through flying tethered kite is the ability to track and control the kite to fly in a "figure-eight" pattern. Thus, an accurate reconstruction of the kite position, velocity and heading is of fundamental importance for the automatic control of the kite in the "figure-eight" pattern.

ISBN: 9781303425806Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Tracking Tethered Kite via Kalman Filter and Sensor Fusion.
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500 $a Advisers: Bassam Bamieh; Andrew Teel.
502 $a Thesis (M.S.)--University of California, Santa Barbara, 2013.
520 $a One of the keys to reducing the world dependence on fossil fuels and the emissions of greenhouse gases is the use of a suitable combination of alternative and green energy sources. In the area of wind energy, recent studies showed that there is enough potential in the total world wind power to sustain the global needs. A new class of generators denoted as HAWP (High Altitude Wind Power) has emerged recently, which exploits the aerodynamic forces generated by the flight of tethered kite to produce electric energy. The key to capture wind energy through flying tethered kite is the ability to track and control the kite to fly in a "figure-eight" pattern. Thus, an accurate reconstruction of the kite position, velocity and heading is of fundamental importance for the automatic control of the kite in the "figure-eight" pattern.
520 $a This thesis presents an approach to track a tethered kite through the Kalman filter and fusing multiple available sensors. Two different sensor setups and the related sensor fusion algorithms are considered and implemented in real-time. The first sensor setup imply the use of a commercial Inertial Measurement Unit (IMU), installed on the kite and equipped with accelerometers, gyroscopes, magnetometers, GPS, and a barometer. The first approach uses a standard linear observer, while the second one introduces a nonlinear correction to account for the specific kinematic constraints of the considered application. In the second sensor setup, we consider the use of a line angle measurement system in addition to the accelerometers, gyroscopes and magnetometers. Lastly, the results of experimental tests carried out with a small-scale prototype capable of flying a kite at a low height is presented and analyzed.
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