Design and development of an air-data system for medium-sized unmanned aerial vehicles

中型无人机航测数据系统的设计与开发

• 批准号: 580299-2022
• 负责人: Ghaemi, SinaS
• 金额: $ 4.33万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=759956
• 关键词: Design; development; air; data; system

An air-data system (ADS) measures airspeed, angle-of-attack, and the angle-of-sideslip of aircraft. Large passenger aircraft typically use a custom-built ADS consisting of several pitot tubes and static ports installed at various locations on the aircraft body. Developing these integrated systems is expensive as they require careful design and calibration through wind-tunnel and flight tests. The simpler and commercially available air-data booms are also heavy, large, and expensive for installation on small- and medium-size unmanned aerial vehicles (UAV). As a result, many smaller UAVs do have an ADS, which limits the performance of their flight control system.The proposed research partnership between Unmanned Vehicle Applied Dynamics Inc. (UVAD) and the University of Alberta intends to design and develop a compact, low-cost ADS for a medium-sized UAV. UVAD has designed and manufactured this UAV for various applications with multiple payload capabilities. We will carry out wind tunnel testing using two models for designing and calibrating nosecone- and wing-mounted air-data probes. We will investigate traditional polynomial equations and unconventional machine learning to calibrate the developed ADS configurations. The experimental investigations will utilize particle image velocimetry to characterize the flow patterns and improve the aerodynamic design of the air-data probes.The outcome of this project is a low-cost, compact air-data system for small- and medium-sized UAVs, and guidelines for robust calibrations. The outcome can help various UAV applications, including mining, wildfire monitoring, and law enforcement. The knowledge gained and the technology developed in this project will contribute to the growth of the Canadian aerospace industry.

空中数据系统（ADS）测量空速，攻击角度和飞机的角度。大型乘客飞机通常使用定制的广告，该广告由几个皮托管和安装在飞机车身各个位置的静态端口组成。开发这些集成系统非常昂贵，因为它们需要通过风能和飞行测试进行仔细的设计和校准。更简单和可商购的空中数据吊杆也很重，大且昂贵，用于在中小型无人机（UAV）上安装。结果，许多较小的无人机确实有一个广告，这限制了其飞行控制系统的性能。拟议的无人车辆应用Dynamics Inc.（UVAD）和艾伯塔大学的研究合作伙伴关系打算设计和开发一个中等大小的UAV的紧凑，低调广告。 UVAD已为具有多个有效载荷功能的各种应用程序设计和制造了此无人机。我们将使用两种型号进行设计和校准的Nosecone和机翼安装的Air-Data探针进行风洞测试。我们将研究传统的多项式方程和非常规的机器学习，以校准开发的广告配置。实验研究将利用粒子图像速度法来表征流动模式并改善空气数据探针的空气动力学设计。该项目的结果是用于中小型无人机的低成本，紧凑的空中数据系统，以及用于可靠校准的指南。结果可以帮助各种无人机应用程序，包括采矿，野火监测和执法。该项目中获得的知识和技术将有助于加拿大航空航天行业的发展。