用于湍流减缓系统设计的MAV机翼非定常压力测量

M. Marino, S. Watkins, R. Sabatini, A. Gardi
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引用次数: 8

摘要

在3 × 2 × 9 m风洞中,在名义光滑(Ti = 1.2%)和湍流(Ti = 7.2%)条件下进行了低雷诺数实验,平均流速为8ms-1 (Re≈120,000)。测量了非定常表面压力,以了解该信息是否可用于解决湍流引起的扰动,并进一步在湍流缓解系统中利用该信息。虽然在MAV的应用中,压力敲击和弦的大部分是不可避免的不切实际的,但我们发现,点局部压力系数(Cp)与和弦方向的Cp积分高度相关,并允许在两个变量之间形成线性关系。定义的关系为失速以下的攻角提供了95%的置信度,可用于估算特定跨度位置的综合索向压力系数。单个压力抽头与弦向截面的综合Cp之间的关系适用于具有相似定义方程的两个不同的跨向位置。由于一个压力水龙头可以用来充分估计弦向翼截面上的综合Cp,因此在翼跨上进行有限数量的压力水龙头可以近似计算跨跨的压力分布和近似飞行扰动。本文的重点是实现非定常压力测量和自动驾驶仪控制逻辑的湍流检测和缓解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unsteady pressure measurements on a MAV wing for the design of a turbulence mitigation system
Experiments at low Reynolds numbers were performed on a pressure tapped NACA2313 wing in a 3 × 2 × 9 meter wind tunnel under nominally smooth (Ti = 1.2%) and turbulent (Ti = 7.2%) flows at a mean flow velocity of 8ms-1 (Re ≈ 120,000). Unsteady surface pressures were measured to understand if this information could be used to resolve for turbulence-induced perturbations and furthermore utilize this information in a turbulence mitigation system. Although pressure tapping the majority of the chord is inevitability impractical for MAV application, it was discovered that a point local Coefficient of Pressure (Cp) held high correlation to the chord-wise Cp integration and allowed for a linear relationship to be formed between the two variables. The defined relationship provided a 95% confidence for angles of attack below stall and can be used to estimate the integrated cord-wise pressure coefficient at a particular span wise location. The relationship between a single pressure tap and the integrated Cp of that chord-wise section was valid for each two different span-wise locations with similar defining equations. As one pressure tap can be used to adequately estimate the integrated Cp on a chord-wise wing section, a limited amount of pressure taps across the wings span can approximate the pressure distribution across the span and approximate flight perturbations. This paper focusses on the implementation of unsteady pressure measurement and autopilot control logics for turbulence detection and mitigation.
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