利用粒子群优化改进初始翼型几何形状

Mendel Pub Date : 2022-06-30 DOI:10.13164/mendel.2022.1.063
J. Muller
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引用次数: 3

摘要

本文主要研究通用飞机翼型的先进优化问题。使用了元启发式优化技术,特别是群算法。随后,在原有粒子群优化(PSO)的基础上,又发展出一种新的变体——翼型粒子群优化(aPSO)。采用基于b样条的参数化模型对初始翼型进行优化。仿真软件Xfoil正在计算基本的空气动力学特征(升力、阻力、力矩)。
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Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation
Advanced optimisation of the aerofoil wing of a general aircraft is the main subject of this paper. Meta-heuristic optimisation techniques, especially swarm algorithms, were used. Subsequently, a new variant denoted as aerofoil particle swarm optimisation (aPSO) was developed from the original particle swarm optimisation (PSO). A parametric model based on B-spline was used to optimise the initial aerofoil. The simulation software Xfoil was calculating basic aerodynamic features (lift, drag, moment).
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来源期刊
Mendel
Mendel Decision Sciences-Decision Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
7
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