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Wind and Wake Sensing with UAV Formation Flight: System Development and Flight Testing.

机译:无人机编队飞行的风与风感应:系统开发和飞行测试。

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摘要

Wind turbulence including atmospheric turbulence and wake turbulence have been widely investigated; however, only recently it become possible to use Unmanned Aerial Vehicles (UAVs) as a validation tool for research in this area. Wind can be a major contributing factor of adverse weather for aircraft. More importantly, it is an even greater risk towards UAVs because of their small size and weight. Being able to estimate wind fields and gusts can potentially provide substantial benefits for both unmanned and manned aviation. Possible applications include gust suppression for improving handling qualities, a better warning system for high wind encounters, and enhanced control for small UAVs during flight. On the other hand, the existence of wind can be advantageous since it can lead to fuel savings and longer duration flights through dynamic soaring or thermal soaring.;Wakes are an effect of the lift distribution across an aircraft's wing or tail. Wakes can cause substantial disturbances when multiple aircraft are moving through the same airspace. In fact, the perils from an aircraft flying through the wake of another aircraft is a leading cause of the delay between takeoff times at airports. Similar to wind, though, wakes can be useful for energy harvesting and increasing an aircraft's endurance when flying in formation which can be a great advantage to UAVs because they are often limited in flight time due to small payload capacity.;Formation flight can most often be seen in manned aircraft but can be adopted for use with unmanned systems. Autonomous flight is needed for flying in the "sweet spot" of the generated wakes for energy harvesting as well as for thermal soaring during long duration flights. For the research presented here formation flight was implemented for the study of wake sensing and gust alleviation.;The major contributions of this research are in the areas of a novel technique to estimate wind using an Unscented Kalman filter and experimental wake sensing data using UAVs in formation flight. This has been achieved and well documented before in manned aircraft but very little work has been done on UAV wake sensing especially during flight testing. This document describes the development and flight testing of small unmanned aerial system (UAS) for wind and wake sensing purpose including a Ground Control Station (GCS) and UAVs.;This research can be stated in four major components. Firstly, formation flight was obtained by integrating a formation flight controller on the WVU Phastball Research UAV aircraft platform from the Flight Control Systems Laboratory (FCSL) at West Virginia University (WVU). Second, a new approach to wind estimation using an Unscented Kalman filter (UKF) is discussed along with results from flight data. Third, wake modeling within a simulator and wake sensing during formation flight is shown. Finally, experimental results are used to discuss the "sweet spot" for energy harvesting in formation flight, a novel approach to cooperative wind estimation, and gust suppression control for a follower aircraft in formation flight.
机译:风湍流包括大气湍流和尾流湍流已被广泛研究。但是,直到最近,才有可能将无人飞行器(UAV)用作该领域研究的验证工具。风可能是飞机不利天气的主要因素。更重要的是,由于其体积小,重量轻,对无人机的风险更大。能够估计风场和阵风可能为无人驾驶和有人驾驶航空提供实质性的好处。可能的应用包括:抑制阵风以提高操纵质量;更好的预警系统,以防遇到强风;以及在飞行过程中增强对小型无人机的控制。另一方面,风的存在可能是有利的,因为它可以通过动态腾飞或热腾腾来节省燃料并延长飞行时间。唤醒是飞机机翼或机尾上升力分布的影响。当多架飞机在同一空域中飞行时,苏醒会造成严重的干扰。实际上,从飞机上飞过另一架飞机后的危险是导致机场起飞时间之间延迟的主要原因。但是,与风相似,尾流对于编队飞行时的能量收集和增加飞机的续航力很有用,这对无人机而言可能是一个巨大的优势,因为由于有效载荷容量小,它们在飞行时间上通常受到限制;编队飞行通常可以可以在有人驾驶飞机上看到,但可以用于无人驾驶系统。在所产生的尾流的“最佳位置”飞行时,需要进行自动飞行,以进行能量收集以及长时间飞行中的热升。对于此处提出的研究,实施了编队飞行以进行尾流感测和阵风缓解研究;该研究的主要贡献在于使用Unscented Kalman滤波器估算风的新技术以及使用无人机进行实验性尾流感测数据的领域。编队飞行。这已经在有人驾驶飞机上实现并得到了充分的文献证明,但是在无人机尾迹感测方面所做的工作很少,尤其是在飞行测试期间。本文档描述了用于风和唤醒感测目的的小型无人机系统(UAS)的开发和飞行测试,包括地面控制站(GCS)和无人机。该研究可以分为四个主要部分。首先,通过在西弗吉尼亚大学(WVU)的飞行控制系统实验室(FCSL)的WVU Phastball Research无人机飞机平台上集成编队飞行控制器来获得编队飞行。其次,讨论了使用无味卡尔曼滤波器(UKF)进行风估算的新方法以及飞行数据的结果。第三,示出了模拟器内的尾流建模和编队飞行期间的尾流感测。最后,实验结果用于讨论编队飞行中能量收集的“最佳点”,协同风估计的新方法以及编队飞行中随从飞机的阵风抑制控制。

著录项

  • 作者

    Larrabee, Trenton Jameson.;

  • 作者单位

    West Virginia University.;

  • 授予单位 West Virginia University.;
  • 学科 Engineering Aerospace.
  • 学位 M.S.
  • 年度 2013
  • 页码 93 p.
  • 总页数 93
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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