دورية أكاديمية
High-altitude vertical wind profile estimation using multirotor vehicles
العنوان: | High-altitude vertical wind profile estimation using multirotor vehicles |
---|---|
المؤلفون: | Alexander McConville, Thomas Richardson |
المصدر: | Frontiers in Robotics and AI, Vol 10 (2023) |
بيانات النشر: | Frontiers Media S.A., 2023. |
سنة النشر: | 2023 |
المجموعة: | LCC:Mechanical engineering and machinery LCC:Electronic computers. Computer science |
مصطلحات موضوعية: | UAS, atmospheric sensing, vertical profiling, wind estimation, UAS operations, Mechanical engineering and machinery, TJ1-1570, Electronic computers. Computer science, QA75.5-76.95 |
الوصف: | Capturing vertical profiles of the atmosphere and measuring wind conditions can be of significant value for weather forecasting and pollution monitoring however, collecting such data can be limited by current approaches using balloon-based radiosondes and expensive ground-based sensors. Multirotor vehicles can be significantly affected by the local wind conditions, and due to their under-actuated nature, the response to the flow is visible in the changes in the orientation. From these changes in orientation, wind speed and direction estimates can be determined, allowing accurate estimation with no additional sensors. In this work, we expand on and improve this method of wind speed and direction estimation and incorporate corrections for climbing flight to improve estimation during vertical profiling. These corrections were validated against sonic anemometer data before being used to gather vertical profiles of the wind conditions around Volcan De Fuego in Guatemala up to altitudes of 3000 m Above Ground Level (AGL). From the results of this work, we show we can improve the accuracy of multirotor wind estimation in vertical profiling through our improved model and some of the practical limitations of radiosondes that can be overcome through the use of UAS in this application. |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2296-9144 |
Relation: | https://www.frontiersin.org/articles/10.3389/frobt.2023.1112889/full; https://doaj.org/toc/2296-9144 |
DOI: | 10.3389/frobt.2023.1112889 |
URL الوصول: | https://doaj.org/article/738999d245444aeabfa4f844749aa212 |
رقم الأكسشن: | edsdoj.738999d245444aeabfa4f844749aa212 |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 22969144 |
---|---|
DOI: | 10.3389/frobt.2023.1112889 |