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

该项目将开发一种将人工智能（AI）技术与先进计算产生的数据相结合的过程，以增强电动飞机螺旋桨的机载实时空气动力学性能测量。该应用将集中在航空航天领域，特别是在应用于城市空中交通（UAM）和无人机（uav）的电气化范围内。由于电池重量对性能的负面影响放大，在航空旅行中采用电气化比在地面运输中采用电气化更具挑战性。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，它将产生基于压力的实时测量，如推力、阻力和扭矩，从而在飞行过程中实现操作效率的优化。这项投资将通过支持英国实现净零排放的旅程而使公众受益，它将鼓励尖端技术的发展，应用于一个不断增长的行业，它将带来业务增长和相关的税收收入，并将在业务中创造新的就业机会。

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.