School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd, Ste 5900, Norman, OK 73072, USA.
Center for Autonomous Sensing and Sampling, University of Oklahoma, 120 David L. Boren Blvd., Ste 4600, Norman, OK 73072, USA.
Sensors (Basel). 2019 Mar 26;19(6):1470. doi: 10.3390/s19061470.
Obtaining thermodynamic measurements using rotary-wing unmanned aircraft systems (rwUAS) requires several considerations for mitigating biases from the aircraft and its environment. In this study, we focus on how the method of temperature sensor integration can impact the quality of its measurements. To minimize non-environmental heat sources and prevent any contamination coming from the rwUAS body, two configurations with different sensor placements are proposed for comparison. The first configuration consists of a custom quadcopter with temperature and humidity sensors placed below the propellers for aspiration. The second configuration incorporates the same quadcopter design with sensors instead shielded inside of an L-duct and aspirated by a ducted fan. Additionally, an autopilot algorithm was developed for these platforms to face them into the wind during flight for kinematic wind estimations. This study will utilize in situ rwUAS observations validated against tower-mounted reference instruments to examine how measurements are influenced both by the different configurations as well as the ambient environment. Results indicate that both methods of integration are valid but the below-propeller configuration is more susceptible to errors from solar radiation and heat from the body of the rwUAS.
使用旋翼式无人机系统(rwUAS)获取热力学测量值需要考虑几个因素,以减轻飞机及其环境带来的偏差。在本研究中,我们专注于温度传感器集成的方法如何影响其测量质量。为了最小化非环境热源并防止来自 rwUAS 机身的任何污染,提出了两种具有不同传感器放置位置的配置进行比较。第一种配置是一个定制的四旋翼飞行器,带有温度和湿度传感器,放置在螺旋桨下方以进行吸气。第二种配置则采用相同的四旋翼设计,传感器被屏蔽在 L 型管道内,并通过涵道风扇进行吸气。此外,还为这些平台开发了自动驾驶仪算法,以便在飞行过程中使它们面向风,以进行运动风估计。本研究将利用现场 rwUAS 观测值与塔式参考仪器进行验证,以检查不同配置以及环境对测量值的影响。结果表明,两种集成方法都是有效的,但螺旋桨下方的配置更容易受到太阳辐射和 rwUAS 机身热量的影响。