An optical-scan method for measuring the as installed surface port incidence angles for flush air data sensing (FADS) systems

Stephen A Whitmore
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Abstract

The Flush Air Data Sensing (FADS) System, where air data are inferred from non-intrusive surface pressure measurements, uses natural contours of the vehicle forebody, wing leading edge, or probe. Although multiple methods have been developed to derive airdata from the sensed pressure matrix, all methods rely on accurate knowledge of local surface contours at the port locations. One of the most well-developed solution methods curve-fits the surface pressure distribution against the associated surface incidence angles using a quasi-Newtonian model. The well-known "Triples" algorithm extracts airdata from the curve-fit model. This solution method requires precise knowledge of as-installed incidence angles, i.e. the angles between the surface normal and the longitudinal axis of the vehicle. This study investigates the feasibility and accuracy of using an inexpensive optical-scanning system to measure the in-situ FADS pressure ports surface incidence angles. Here, two legacy 3-D printed probe shapes, as previously tested during a series of very low-speed wind tunnel tests, were used to develop and evaluate this method. The shapes 1) a hemispherical head cylindrical forebody, and 2) a Rankine-Body, were scanned along the longitudinal axis and the resulting point-cloud was edited using open-source software to generate three concentric "loops" surrounding each surface port. Each annular loop was assumed as co-planar with the surface port, and the singular-value decomposition (SVD) was used calculate the local surface gradient vector from the null-space solution. From the resulting gradient vector, geometric relationships calculate the port's polar coordinates including the surface incidence angle. For both body contours the resulting calculations are compared to the "known" design surface angles as prescribed for the 3-D prints. Error plots are presented for each individual ring-set, and for the collected set using all three ring together. For the collected data sets, the incidence angle calculations are accurate to within a quarter-degree.
一种光学扫描方法,用于测量齐平空气数据传感(FADS)系统安装后的表面端口入射角
平扫空气数据传感(FADS)系统利用车辆前体、机翼前缘或探头的自然轮廓,通过非侵入式表面压力测量来推断空气数据。虽然已经开发了多种方法来从感应压力矩阵推导空气数据,但所有方法都依赖于对端口位置的局部表面轮廓的准确了解。其中一种最成熟的求解方法是使用准牛顿模型将表面压力分布与相关表面入射角进行曲线拟合。著名的 "Triples "算法从曲线拟合模型中提取空气数据。这种求解方法需要精确了解安装时的入射角,即表面法线与车辆纵轴之间的夹角。本研究调查了使用廉价光学扫描系统测量原位 FADS 压力端口表面入射角的可行性和准确性。在这里,我们使用了之前在一系列极低速风洞试验中测试过的两种传统 3-D 打印探头形状来开发和评估这种方法。1) 半球形头部圆柱形前体,和 2) 兰金体,沿纵轴扫描,并使用开源软件编辑生成的点云,以生成围绕每个表面端口的三个同心 "环"。假定每个环形圈与表面端口共面,并使用奇异值分解(SVD)计算空空间解的局部表面梯度矢量。根据梯度向量的几何关系计算出端口的极坐标,包括表面入射角。对于两个车身轮廓,计算结果与三维打印规定的 "已知 "设计表面角度进行比较。误差图显示了每个单独环组的误差图,以及使用所有三个环组收集的误差图。对于收集到的数据集,入射角计算的精确度在四分之一度以内。
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