M
Murat Bronz
Researcher at École nationale de l'aviation civile
Publications - 73
Citations - 668
Murat Bronz is an academic researcher from École nationale de l'aviation civile. The author has contributed to research in topics: Computer science & Propeller. The author has an hindex of 12, co-authored 62 publications receiving 440 citations. Previous affiliations of Murat Bronz include University of Toulouse & École Normale Supérieure.
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Journal ArticleDOI
Evaluation of drag coefficient for a quadrotor model
TL;DR: In this article , the authors focus on the quadrotor drag coefficient model and its estimation from flight tests and propose an estimation method based on the least-squares optimization, which evaluates the drag of the quad-rotor directly from outdoor flight data.
Proceedings ArticleDOI
Experimental Analysis of Propeller Forces and Moments at High Angle of Incidence
TL;DR: In this paper, an experimental measurement on propeller forces and moments at high incidence was introduced, where two sets of propellers were tested in SaBRe low speed wind tunnel: Graupner E-prop and 3D-printed propellers.
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Piecewise Polynomial Model Identification using Constrained Least Squares for UAS Stall
TL;DR: In this paper, a piecewise polynomial model (PwPM) is proposed for the modeling of an UAV's aerodynamic coefficients over a wide flight envelope, where they are characterized by nonlinear and hysteresis phenomena.
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Estimating wind using a quadrotor
TL;DR: In this paper , the authors estimate the average wind influencing a quadrotor drone only based on standard navigation sensors and equations of motion, which can be used in several situation, including atmospheric studies, trajectory planning under environmental constraints, or as a reference for studying flights in shear layer.
Proceedings ArticleDOI
Experimental Evaluation of Robustness of Panel-Method-Based Path Planning for Urban Air Mobility
TL;DR: In this paper , the robustness of panel method based path planning algorithm under wind disturbances is evaluated experimentally and the results suggest that panel method-based path planning scheme maintains its obstacle avoidance property under wind disturbance.