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】
Unknown