生物启发遗传算法优化地效翼设计:飞行性能优势和飞机稳定性影响

Karl Zammit, Howard Smith, Noel Sierra Lobo, Ioannis K. Giannopoulos
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摘要

本文介绍了地效飞行器机翼设计的生物启发遗传算法进化过程。该研究利用快速气动模型生成和结果评估计算流体力学涡流晶格法软件,并在遗传算法优化 Python 脚本的监督下进行。飞机机翼参数特征的设计空间从海鸟中汲取灵感,假设它们的机翼是自然进化而来,并针对水面近距离飞行进行了部分优化。案例研究以 A-90 Orlyonok 俄罗斯 Ekranoplan 为基础,提出了其他生物启发的机翼变体。研究目的是调查在使用生物启发机翼时可能提高的飞机飞行性能,以及验证飞机在地效飞行时的静态和动态稳定性。本文介绍的方法和研究结果为利用计算流体力学推进地效飞行器概念设计迈出了重要一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinspired Genetic-Algorithm Optimized Ground-Effect Wing Design: Flight Performance Benefits and Aircraft Stability Effects
This paper presents a bioinspired, genetic-algorithm evolutionary process for Ground-Effect vehicle wing design. The study made use of a rapid aerodynamic model generation and results evaluation computational fluid dynamics vortex lattice method software, supervised by a genetic algorithm optimization Python script. The design space for the aircraft wing parametric features drew inspiration from seabirds, under the assumption of their wings being naturally evolved and partially optimized for proximity flight over water surfaces. A case study was based on the A-90 Orlyonok Russian Ekranoplan, where alternative bioinspired wing variations were proposed. The study objective was to investigate the possible increased flight aircraft performance when using bioinspired wings, as well as verify the static and dynamic aircraft stability compliance for Ground-Effect flight. The methodology presented herein along with the study results, provided an incremental step towards advancing Ground-Effect aircraft conceptual designs using computational fluid dynamics.
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