In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy

In-Flight Estimation of the Aerodynamics of Tethered Wings for Airborne Wind Energy
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机载风能系留机翼空气动力学的飞行中估计

DOI:
10.1109/tcst.2019.2907663
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发表时间:
2020
影响因子:
4.8
通讯作者:
A. Trofino Neto
A. Trofino Neto
中科院分区:
计算机科学2区
文献类型:
--
作者:
E. Schmidt;Marcelo De Lellis Costa de Oliveira;Ramiro Saraiva da Silva;L. Fagiano;A. Trofino Neto

文献摘要

被引文献

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提出了一种新的过滤方法,能够在线估计机载风能系统中使用的系留机翼的空气动力学特性。该方法基于扩展卡尔曼滤波器(EKF)和飞行动力学的代表性模型。该过滤器接收地面站提供的测量数据,即线角及其速率、系绳上的牵引力以及距地面几米的风速和风向。首先通过模拟评估估计的收敛性和准确性。然后,使用广泛的实验数据来演示该方法,这些数据是在现场测试期间收集的,由不同研究小组独立建造的两个小型原型和四个不同的冲压空气型和前缘充气型柔性翼型件(动力风筝)组成。实验结果表明,该算法能够有效估计机翼的状态和气动参数,以及机翼高度的风速和风向,为分析风筝高动态系留飞行时的气动特性提供了可能。
A new filtering approach is presented, able to estimate online the aerodynamic characteristics of tethered wings used in airborne wind energy systems. The approach is based on the extended Kalman filter (EKF) and on a representative model of the flight dynamics. The filter is fed with measurements available at the ground station, namely, the line angles and their rates, the traction force on the tether, and the wind speed and direction a few meters above the ground. Convergence and accuracy of the estimates are first evaluated through simulations. Then, the approach is demonstrated using extensive experimental data, collected during field tests with two small-scale prototypes built independently by different research groups and four different flexible airfoils (power kites), of both ram-air type and of leading-edge-inflated type. The experimental results show that the algorithm can effectively estimate both the state and the aerodynamic parameters of the wings, as well as the wind speed and direction at the wing’s altitude, and makes it possible to analyze the kite aerodynamics during highly dynamical tethered flight.