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Unsteady pressure measurements on a MAV wing for the design of a turbulence mitigation system

机译:用于设计湍流缓解系统的MAV机翼上的非定常压力测量

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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.
机译:低雷诺数实验是在3×2×9米风洞中的压力轻拍的NACA2313机翼上进行的,在名义上平稳(Ti = 1.2%)和湍流(Ti = 7.2%)的情况下,平均流速为8ms-1 (Re≈120,000)。测量了不稳定的表面压力,以了解此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此信息。尽管对于MAV应用来说,对大部分弦进行压力攻丝是不可避免的,但发现点局部压力系数(Cp)与弦的Cp积分保持高度相关,并允许两者之间形成线性关系变量。定义的关系为失速以下的攻角提供了95%的置信度,可用于估计在特定跨度位置上的集成线向压力系数。对于具有相似定义方程式的每两个不同的跨度位置,单个压力抽头与该弦向部分的积分Cp之间的关系是有效的。由于可以使用一个压力抽头来充分估计弦向机翼截面上的积分Cp,因此机翼跨度上的有限量的压力抽头可以使跨度上的压力分布近似,并可以近似估计飞行扰动。本文重点介绍了用于湍流检测和缓解的非稳态压力测量和自动驾驶控制逻辑的实现。

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