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Flight-Path Reconstruction and Flight Test of Four-Line Power Kites

机译：四线电源套件的飞行路径重建和飞行测试

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摘要

A flight-path reconstruction algorithm for tethered aircraft, which is based on an extended Kalman filter, is presented. The algorithm is fed by the measurements of a set of onboard and ground-based instruments and provides the optimal estimation of the system state-space trajectory, which includes typical aircraft variables such as position and velocity, as well as an estimation of the aerodynamic force and torque. Therefore, it can be applied to closed-loop control in airborne wind energy systems and it is a first step toward aerodynamic parameter identification of tethered aircraft using flight-test data. The performance of the algorithm is investigated by feeding it with real flight data obtained from a low-cost and highly portable experimental setup with a four-line kite. Several flight tests, which include pullup and lateral-directional steering maneuvers with two kites of different areas, are conducted. The coherence of the estimations provided by the filter, such as the kite state-space trajectory and aerodynamic forces and torques, is analyzed. For some standard variables, such as kite Euler angles and position, the results are also compared with a second independent onboard estimator.
机译：提出了一种基于扩展卡尔曼滤波器的束缚飞机飞行路径重构算法。该算法由一组机载和地面仪器的测量结果提供，并提供系统状态空间轨迹的最佳估计，其中包括典型的飞机变量（例如位置和速度）以及空气动力的估计和扭矩。因此，它可以应用于机载风能系统的闭环控制，这是迈向使用飞行测试数据识别系留飞机的空气动力学参数的第一步。通过向算法馈入从四线风筝的低成本，高度便携的实验装置获得的真实飞行数据，研究算法的性能。进行了几项飞行测试，其中包括带有两个不同区域的风筝的上拉和横向转向操纵。分析了过滤器提供的估计的一致性，例如风筝状态空间轨迹以及空气动力和扭矩。对于某些标准变量，例如风筝Euler角度和位置，还将结果与第二个独立的机载估计器进行比较。

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  • 来源
    《Journal of guidance, control, and dynamics》 |2018年第12期|2604-2614|共11页
  • 作者

    Borobia R.; Sanchez-Aniaga G.; Serino A.; Schmehl R.;

  • 作者单位

    Polytech Univ Turin, I-10129 Turin, Italy;

    Bioengn & Aerosp Engn Dept, Avda Univ 30, Madrid, Spain;

    Spanish Natl Inst Aerosp Technol, Carretera Ajalvir,Km 4, Torrejon De Ardoz 28850, Spain;

    Delft Univ Technol, Fac Aerosp Engn, Kluyverweg 1, NL-2629 HS Delft, Netherlands;

    Charles III Univ Madrid, Leganes 28911, Spain;

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