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 parti...

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Bibliographic Details
Published inMendel (Brno (Czech Republic)) Vol. 28; no. 1; pp. 63 - 67
Main Author Muller, Jan
Format Journal Article
LanguageEnglish
Published Brno University of Technology 30.06.2022
Subjects
Aerofoil
Aerofoil Wing
Bezier-PARSEC Model
Optimisation
Swarm Algorithms
Wing
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ISSN1803-3814
1803-3822
2571-3701
2571-3701
DOI10.13164/mendel.2022.1.063

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Summary: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).
ISSN:1803-3814
1803-3822
2571-3701
2571-3701
DOI:10.13164/mendel.2022.1.063