A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Based on Stochastic Surrogate Model and PPO-Clip Algorithm Article Swipe
Yiyu Wang
,
Yuxin Huo
,
Zhong Zhou
,
Renxing Ji
,
Chaoho Ouyang
,
Bo Wang
,
Xiaoping Ma
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/drones9090607
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/drones9090607
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) essential. However, existing RADO methodologies face high computational cost of uncertainty analysis and inefficiency of conventional optimization algorithms. To address these challenges, this paper proposed a novel RADO methodology integrating a Stochastic Kriging (SK) surrogate model with the PPO-Clip reinforcement learning algorithm, targeting atmospheric uncertainties encountered by turbojet-powered UAVs in transonic cruise. The SK surrogate model, constructed via Maximin Latin Hypercube Sampling and refined using the Expected Improvement infill criterion, enabled efficient uncertainty quantification. Based on the trained surrogate model, a PPO-Clip-based RADO framework with tailored reward and state transition functions was established. Applied to the RAE2822 airfoil under Mach number perturbations, the methodology demonstrated superior reliability and efficiency compared with L-BFGS-B and PSO algorithms.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/drones9090607
- https://www.mdpi.com/2504-446X/9/9/607/pdf?version=1756389941
- OA Status
- gold
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413790713
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- OpenAlex ID
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https://openalex.org/W4413790713Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/drones9090607Digital Object Identifier
- Title
-
A Robust Aerodynamic Design Optimization Methodology for UAV Airfoils Based on Stochastic Surrogate Model and PPO-Clip AlgorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-08-28Full publication date if available
- Authors
-
Yiyu Wang, Yuxin Huo, Zhong Zhou, Renxing Ji, Chaoho Ouyang, Bo Wang, Xiaoping MaList of authors in order
- Landing page
-
https://doi.org/10.3390/drones9090607Publisher landing page
- PDF URL
-
https://www.mdpi.com/2504-446X/9/9/607/pdf?version=1756389941Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2504-446X/9/9/607/pdf?version=1756389941Direct OA link when available
- Concepts
-
Airfoil, Aerodynamics, Surrogate model, Computer science, Mathematical optimization, Algorithm, Aerospace engineering, Engineering, Mathematics, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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26Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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