期刊论文详细信息
Mendel
Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation
Jan Muller1 
[1] Brno University of Technology, Czech Republic;
关键词: Swarm Algorithms;    Bezier-PARSEC Model;    Aerofoil;    Wing;    Aerofoil Wing;    Optimisation;   
DOI  :  10.13164/mendel.2022.1.063
来源: DOAJ
【 摘 要 】

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).

【 授权许可】

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