A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Based on Stochastic Surrogate Model and PPO-Clip Algorithm

Unmanned Aerial Vehicles (UAVs) are widely used in meteorology and logistics due to their unique advantages nowadays. During their lifecycle, uncertainties—such as flight condition variations—can significantly affect both design and performance, making Robust Aerodynamic Design Optimization (RADO) e...

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Vydáno v:	Drones (Basel) Ročník 9; číslo 9; s. 607
Hlavní autoři:	Wang, Yiyu, Huo, Yuxin, Zhong, Zhilong, Ji, Renxing, Chen, Yang, Wang, Bo, Ma, Xiaoping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.09.2025
Témata:	Aerodynamics Aircraft airfoil optimization Airfoils Algorithms Artificial intelligence Design and construction Design optimization Drone aircraft Efficiency Hypercubes intelligent algorithms Latin hypercube sampling Mach number Machine learning Mathematical optimization Methodology Optimization algorithms Random variables Robust Aerodynamic Design Optimization Robustness stochastic surrogate model Systems stability Turbulence models Uncertainty analysis Unmanned Aerial Vehicles China
ISSN:	2504-446X, 2504-446X
On-line přístup:	Získat plný text
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