AI-based pressure reconstruction method to predict real-time aerodynamic performance of a VTOL electric propeller

基于人工智能的压力重建方法预测垂直起降电动螺旋桨的实时气动性能

• 批准号: 10043199
• 金额: $ 6.36万
• 依托单位: SABE TECHNOLOGY LIMITED
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10043199
• 关键词: AI; based; pressure; reconstruction; method

The project will develop a process combining Artificial Intelligence (AI) techniques with data generated from advanced computing to enhance the on-board real-time aerodynamic performance measurements of electric aircraft propellers.The application will be focused on the aerospace sector, particularly within the scope of electrification applied to Urban Air Mobility (UAM) and Unmanned Aerial Vehicles (UAVs).The adoption of electrification for air travel is much more challenging than for ground transportation due to the amplified negative effect of the battery weight on the performance. Improvements in the operational efficiency of the crafts is a key requirement for the achievement of net-zero air transportation.The proposed technology is aligned with this theme, it will generate real-time pressure-based measurements such as thrust, drag and torque which will enable operational efficiency optimisation during flight.This investment will benefit the general public by supporting the UK's journey towards net-zero, it will encourage the development of cutting-edge technology applied for a growing sector, it will generate business growth and associated tax revenues, and it will result in the creation of new jobs within the business.

该项目将开发一种将人工智能（AI）技术与先进计算生成的数据相结合的流程，以增强电动飞机螺旋桨的机载实时空气动力性能测量。该应用将集中在航空航天领域，特别是在以下范围内电气化应用于城市空中交通（UAM）和无人机（UAV）。由于电池重量对性能的负面影响更大，航空旅行采用电气化比地面交通更具挑战性。提高飞机的运行效率是实现净零航空运输的关键要求。所提出的技术与这一主题相一致，它将生成基于压力的实时测量值，例如推力、阻力和扭矩，这将实现飞行期间的运营效率优化。这项投资将通过支持英国迈向净零排放的旅程而造福广大公众，它将鼓励开发应用于不断增长的行业的尖端技术，它将带来业务增长和相关税收收入，它将导致在该领域内创造新的就业机会 商业。