A non-intrusive reduced order model using deep learning for realistic wind data generation for small unmanned aerial systems in urban spaces
A non-intrusive reduced order model using deep learning for realistic wind data generation for small unmanned aerial systems in urban spaces
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DOI：
10.1063/5.0098835
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发表时间：
2022-08
期刊：
影响因子：
1.6
通讯作者：
Rohit K. S. S. Vuppala-Rohit-K.-S.-S.-Vuppala-151196900;Kursat Kara
中科院分区：
文献类型：
--
作者：
Rohit K. S. S. Vuppala-Rohit-K.-S.-S.-Vuppala-151196900;Kursat Kara
真实的风数据对于开发、测试和确保无人机系统的运行安全是必不可少的。需要替代Dryden和Von Káramán湍流模型，明确针对城市空气空间来生成湍流风数据。我们提出了一种新的方法来生成逼真的风数据，以支持小型无人机在城市空间的安全运行。我们提出了一种非侵入式降阶建模方法来复制真实的风场数据和预测风场。该方法使用一种成熟的大涡模拟模型--并行大涡模拟模型来生成高保真数据。为了建立降阶模型，我们利用适当的正交分解从三维空间中提取模式，并使用专门的递归神经网络和长期短期记忆来进行时间步长。本文将利用计算流体力学模拟生成风场数据的传统方法与深度学习和降阶建模技术相结合，设计了一种基于非侵入性数据的风场预测模型的方法学。以中性大气条件下单层建筑的孤立城市子空间简化模型为例，对该方法进行了验证。
Realistic wind data are essential in developing, testing, and ensuring the safety of unmanned aerial systems in operation. Alternatives to Dryden and von Kármán turbulence models are required, aimed explicitly at urban air spaces to generate turbulent wind data. We present a novel method to generate realistic wind data for the safe operation of small unmanned aerial vehicles in urban spaces. We propose a non-intrusive reduced order modeling approach to replicate realistic wind data and predict wind fields. The method uses a well-established large-eddy simulation model, the parallelized large eddy simulation model, to generate high-fidelity data. To create a reduced-order model, we utilize proper orthogonal decomposition to extract modes from the three-dimensional space and use specialized recurrent neural networks and long-term short memory for stepping in time. This paper combines the traditional approach of using computational fluid dynamic simulations to generate wind data with deep learning and reduced-order modeling techniques to devise a methodology for a non-intrusive data-based model for wind field prediction. A simplistic model of an isolated urban subspace with a single building setup in neutral atmospheric conditions is considered a test case for the demonstration of the method.