Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation

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187-Article Text-438-1-10-20220629.pdf(1.22 MB)
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2022-06-30
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Institute of Automation and Computer Science, Brno University of Technology
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Abstract
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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Keywords
Swarm Algorithms, Bezier-PARSEC Model, Aerofoil, Wing, Aerofoil Wing, Optimisation, Metaheuristics, Xfoil
Citation
Mendel. 2022 vol. 28, č. 2, s. 63-67. ISSN 1803-3814
https://mendel-journal.org/index.php/mendel/article/view/187
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Peer-reviewed
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en
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
http://creativecommons.org/licenses/by-nc-sa/4.0
DOI
10.13164/mendel.2022.1.063
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http://hdl.handle.net/11012/208130
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Vol. 28, No. 1
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