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) 可测量飞机的空速、迎角和侧滑角。大型客机通常使用定制的 ADS，由安装在飞机机身不同位置的多个皮托管和静态端口组成。开发这些集成系统的成本很高，因为它们需要通过风洞和飞行测试进行仔细设计和校准。对于安装在中小型无人机 (UAV) 上来说，更简单且商用的空中数据吊杆也笨重、庞大且昂贵。因此，许多小型无人机确实配备了 ADS，这限制了其飞行控制系统的性能。 无人机应用动力学公司 (UVAD) 和阿尔伯塔大学之间拟议的研究合作伙伴关系旨在设计和开发一种紧凑、低功耗的无人机-中型无人机的成本ADS。 UVAD 设计和制造了这款无人机，适用于具有多种有效负载能力的各种应用。我们将使用两种模型进行风洞测试，用于设计和校准安装在鼻锥和机翼上的空气数据探测器。我们将研究传统的多项式方程和非常规的机器学习来校准开发的 ADS 配置。实验研究将利用粒子图像测速来表征流动模式并改进空气数据探测器的空气动力学设计。该项目的成果是为中小型无人机提供低成本、紧凑的空气数据系统，和稳健校准指南。该成果可以帮助各种无人机应用，包括采矿、野火监测和执法。该项目中获得的知识和开发的技术将有助于加拿大航空航天业的发展。