Multi-Scale Aerodynamic modelling of Helicopters/UAV in Urban Environments

城市环境中直升机/无人机的多尺度空气动力学建模

• 批准号: 572207-2022
• 负责人: Laurendeau, EricE
• 金额: $ 4.88万
• 依托单位: École Polytechnique de Montréal
• 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=754324
• 关键词: Multi; Scale; Aerodynamic; modelling; Helicopters

An important source of innovation in the field of aeronautics involves the flight of UAVs or rotorcraftwith/without passengers. Unlike aircraft that fly in dedicated environments (airports or airspace 10 km above the ground), these vehicles operate close to objects such as drilling platforms or buildings, or even inside cities. In order to meet performance and certification criteria corresponding to competitive and safety issues respectively, it is necessary to model the flight of aircraft in such environments. A major constraint is that the modelling time must be small, i.e. capable of being integrated into industrial flight simulation processes at low cost, while possessing acceptable accuracy.This project aims firstly to couple existing multi-scale models of aircraft aerodynamic simulations including rotors, city models and atmospheric conditions to improve flight simulators. Secondly, in order to meet the low-cost criteria, this project introduces artificial intelligence models as a 'surrogate model' for both small-scale (aerodynamics) and large-scale (cities) software.These new approaches will allow industry and certification agencies access to physics-based models toaccurately and realistically simulate the flight of rotorcraft in an urban context. In addition, advances inartificial intelligence will allow the development of a new field of expertise in Quebec, namely artificialintelligence applied to computational fluid dynamics (AI-CFD). Indeed, the disturbances introduced byatmospheric conditions and cities are important parameters affecting the aerodynamics of aircraft. It follows that the development of the Quebec aeronautical industry for the flight of aircraft in urban environments requires such tools, which are necessary both from a competitive and a safety point of view.

航空领域创新的一个重要来源是无人驾驶飞机或旋翼飞机的飞行，包括载人或无载人。与在专用环境（机场或距地面10公里的空域）飞行的飞机不同，这些车辆靠近钻井平台或建筑物等物体，甚至在城市内部运行。为了满足相应的竞争和安全问题的性能和认证标准，有必要在这种环境中模拟飞机的飞行。一个主要的限制是建模时间必须小，即能够以低成本集成到工业飞行仿真过程中，同时具有可接受的精度。本项目首先旨在将现有的多尺度飞机气动仿真模型（包括旋翼、城市模型和大气条件）进行耦合，以改进飞行模拟器。其次，为了满足低成本标准，该项目引入了人工智能模型作为小规模（空气动力学）和大规模（城市）软件的“替代模型”。这些新方法将允许工业和认证机构访问基于物理的模型，以准确和真实地模拟旋翼飞机在城市环境中的飞行。此外，人工智能的进步将使魁北克能够发展一个新的专业领域，即应用于计算流体动力学的人工智能（AI-CFD）。实际上，大气条件和城市引入的扰动是影响飞机空气动力学的重要参数。因此，发展魁北克航空工业以使飞机在城市环境中飞行需要这些工具，从竞争和安全的角度来看，这些工具都是必要的。