基于真实飞行数据处理的三角翼无人机气动特性研究

P. Longobardi, G. Laupré, J. Skaloud
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引用次数: 0

摘要

基于车辆动态模型的导航是实现小型无人机自主导航的一种新方法。在不增加额外传感器的情况下,显著改善了GNSS中断条件下的导航解决方案。本文提出了一种替代方法来确定表征系统动力学特性的气动系数,以实现基于vdm的导航。该方法利用后处理的传统INS/GNSS导航方法对气动系数的初值进行估计。强调了实验数据优化选择的重要性,提出了一种评价标准,其好处是系数估计的统计显著性提高。
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Aerodynamic characterization of a Delta-wing UAV based on real flight data processing
Vehicle Dynamic Model based navigation represents a novel approach to autonomous navigation for small UAVs. It significantly improves the navigation solution under GNSS outage condition without adding additional sensors to the platform. This paper proposes an alternative method for determination of the aerodynamic coefficients characterizing the system dynamics needed to enable VDM-based navigation. It relies on the usage of post-processed traditional INS/GNSS navigation solution for the estimation of initial values of the aerodynamic coefficients. The importance of optimal selection of experimental data is highlighted, proposing an evaluation criterion whose benefit is the increase of the statistical significance of the coefficient estimation.
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