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Environmental and Sensor Integration Influences on Temperature Measurements by Rotary-Wing Unmanned Aircraft Systems

机译:环境和传感器集成对旋翼无人机系统温度测量的影响

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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.
机译:使用旋转翼无人飞行器系统(rwUAS)获得热力学测量值需要一些考虑因素,以减轻飞机及其环境带来的偏差。在这项研究中,我们着重于温度传感器集成方法如何影响其测量质量。为了最大程度地减少非环境热源并防止来自rwUAS主体的任何污染,建议使用两种具有不同传感器位置的配置进行比较。第一种配置包括一个定制的四轴飞行器,其温度和湿度传感器放置在螺旋桨下方以进行抽吸。第二种配置采用了相同的四轴飞行器设计,但传感器被屏蔽在L型管道内,并由管道风扇吸出。此外,针对这些平台开发了一种自动驾驶算法,可以在飞行过程中将其面对风以进行运动学风估计。这项研究将利用针对塔架安装的参考仪器进行验证的原位rwUAS观测值,以检查不同配置以及周围环境如何影响测量结果。结果表明这两种集成方法都是有效的,但螺旋桨以下的配置更容易受到来自rwUAS体的太阳辐射和热量的影响。

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