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Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis

التفاصيل البيبلوغرافية
العنوان: Drone Ground Impact Footprints with Importance Sampling: Estimation and Sensitivity Analysis
المؤلفون: Jérôme Morio, Baptiste Levasseur, Sylvain Bertrand
المصدر: Applied Sciences, Vol 11, Iss 9, p 3871 (2021)
بيانات النشر: MDPI AG, 2021.
سنة النشر: 2021
المجموعة: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
مصطلحات موضوعية: UAV, probabilistic maps of impact, ground footprints, Monte Carlo, importance sampling, sensitivity analysis, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
الوصف: This paper addresses the estimation of accurate extreme ground impact footprints and probabilistic maps due to a total loss of control of fixed-wing unmanned aerial vehicles after a main engine failure. In this paper, we focus on the ground impact footprints that contains 95%, 99% and 99.9% of the drone impacts. These regions are defined here with density minimum volume sets and may be estimated by Monte Carlo methods. As Monte Carlo approaches lead to an underestimation of extreme ground impact footprints, we consider in this article multiple importance sampling to evaluate them. Then, we perform a reliability oriented sensitivity analysis, to estimate the most influential uncertain parameters on the ground impact position. We show the results of these estimations on a realistic drone flight scenario.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2076-3417
Relation: https://www.mdpi.com/2076-3417/11/9/3871; https://doaj.org/toc/2076-3417
DOI: 10.3390/app11093871
URL الوصول: https://doaj.org/article/8a7850c372fd4064a9bac243f64cb8d1
رقم الأكسشن: edsdoj.8a7850c372fd4064a9bac243f64cb8d1
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20763417
DOI:10.3390/app11093871