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Integrated Design and Testing of an Anemometer for Autonomous Sail Drones

机译:用于自主帆无人机的风速计的集成设计和测试

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A correct estimation of both direction and intensity of wind velocity is fundamental for controlling an autonomous sail-boat. This kind of estimation has to be performed in a harsh environment considering the direct exposition of the sensor to salt, fog, and to any variable weather conditions. An important feature is represented by the sensor size, which has to be small compared to the drone size. Costs have to be optimized with respect to the overall small budget involved in the construction of the drone. Finally, extensive use on drones or in large sensor networks should be greatly advantaged by an easy substitutability in the case of accidental damage or system loss, an eventuality which is difficult to be completely avoided for large scale, prolonged monitoring activities. In this work authors propose a low cost ultrasonic planar anemometer with a very interesting price to performance ratio which is obtained by introducing a simple, original and innovative Arduino based architecture. Preliminary design and the results of calibration will be described, followed by testing activities performed on a low-speed large section wind tunnel, available at University of Florence supported by simple but effective computational fluid dynamic (CFD) simulations.
机译:对控制自主帆船的正确估计,风速的两个方向和强度是基础的。考虑到传感器直接阐述盐,雾,以及任何可变天气条件,必须在恶劣的环境中进行这种估计。一个重要的特征由传感器尺寸表示,与无人机尺寸相比,该传感器尺寸必须小。必须在涉及无人机建设中的整体小预算方面优化成本。最后,在意外损坏或系统损失的情况下,对无人机或大传感器网络的广泛用途应该大大优化,这是大规模难以完全避免的最终避免的最终的监测活动。在这项工作中,作者提出了一种低成本的超声波平面风速计,其价格非常有趣的价格是通过引入简单,原创和创新的Arduino基于Arduino的架构获得的性价比。将描述初步设计和校准结果,然后通过简单但有效的计算流体动态(CFD)模拟,在佛罗伦萨大学提供的低速大段风洞进行测试。

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