Wind and the City: Utilizing UAV-Based In-Situ Measurements for Estimating Urban Wind Fields
| Autor: | Brady Moon, Jay Patrikar, Sebastian Scherer |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
020301 aerospace & aeronautics
0209 industrial biotechnology Ground truth geography geography.geographical_feature_category business.industry 02 engineering and technology Inverse problem Computational fluid dynamics Inlet Flight test 020901 industrial engineering & automation 0203 mechanical engineering Kriging Environmental science Boundary value problem Particle filter business Marine engineering |
| Zdroj: | IROS |
| DOI: | 10.1109/iros45743.2020.9340812 |
| Popis: | A high-quality estimate of wind fields can potentially improve the safety and performance of Unmanned Aerial Vehicles (UAVs) operating in dense urban areas. Computational Fluid Dynamics (CFD) simulations can help provide a wind field estimate, but their accuracy depends on the knowledge of the distribution of the inlet boundary conditions. This paper provides a real-time methodology using a Particle Filter (PF) that utilizes wind measurements from a UAV to solve the inverse problem of predicting the inlet conditions as the UAV traverses the flow field. A Gaussian Process Regression (GPR) approach is used as a surrogate function to maintain the real-time nature of the proposed methodology. Real-world experiments with a UAV at an urban test-site prove the efficacy of the proposed method. The flight test shows that the 95% confidence interval for the difference between the mean estimated inlet conditions and mean ground truth measurements closely bound zero, with the difference in mean angles being between –3.7° and 1.3° and the difference in mean magnitudes being between –0.2 m/s and 0.0 m/s.Video : https://youtu.be/U4XdYgSJRZM |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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