Research on Drag Reduction Optimization of Foldable Solar Wings for UUVs

• Published in: 水下无人系统学报 Vol. 33; no. 4; pp. 699 - 706
• Main Authors: Chenyu WANG, Likun PENG, Jiabao CHEN, Jia CHEN, Huarui WANG, Wei PAN
• Format: Journal Article
• Language: Chinese
• Published: Science Press (China) 01.08.2025
• Subjects: drag reduction; foldable solar wing plate; hydrodynamic shape optimization; unmanned undersea vehicle
• ISSN: 2096-3920
• DOI: 10.11993/j.issn.2096-3920.2024-0168

To respond to the endurance bottleneck faced by unmanned undersea vehicles(UUVs) in missions such as ocean observation and resource exploration, this paper studied the hydrodynamic performance optimization of a novel foldable solar wing. To balance computational efficiency and optimization accuracy, a parametric model of the wing was established in CAESES software with variables including wing point coordinates, rounding factors of wing edges, wing gaps, and gaps between the wing and the hull. Innovatively, a hybrid optimization framework combining Sobol global sampling and the non-dominatedsorting genetic algorithm II(NSGA-II) optimization algorithm was constructed. Firstly, the Sobol algorithm was used to generate 80 sample points within the threshold space of each variable to fully explore the design space, followed by multi-generation optimization through NSGA-II. To avoid the accuracy degradation of traditional surrogate models, a coupled computational process integrating high-precision hydrodynamic solu