Optimization and design of an aircraft’s morphing wing-tip demonstrator for drag reduction at low speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms

Koreanschi, A; Sugar-Gabor, O; Acotto, J; Brianchon, G; Portier, G; Botez, RM; Mamou, M; Mebarki, Y

Abstract

In this paper, an ‘in-house’ genetic algorithm is described and applied to an optimization problem for improving the aerodynamic performances of an aircraft wing tip through upper surface morphing. The algorithm’s performances were studied from the convergence point of view, in accordance with design conditions. The algorithm was compared to two other optimization methods, namely the artificial bee colony and a gradient method, for two optimization objectives, and the results of the optimizations with each of the three methods were plotted on response surfaces obtained with the Monte Carlo method, to show that they were situated in the global optimum region. The optimization results for 16 wind tunnel test cases and 2 objective functions were presented. The 16 cases used for the optimizations were included in the experimental test plan for the morphing wing-tip demonstrator, and the results obtained using the displacements given by the optimizations were evaluated.

Citation

Koreanschi, A., Sugar-Gabor, O., Acotto, J., Brianchon, G., Portier, G., Botez, R., …Mebarki, Y. (2017). Optimization and design of an aircraft’s morphing wing-tip demonstrator for drag reduction at low speed, Part I – Aerodynamic optimization using genetic, bee colony and gradient descent algorithms. Chinese Journal of Aeronautics, 30(1), 149-163. https://doi.org/10.1016/j.cja.2016.12.013

• Journal Article Type: Article
• Acceptance Date: Jun 21, 2016
• Online Publication Date: Jan 4, 2017
• Publication Date: Feb 1, 2017
• Deposit Date: Mar 8, 2017
• Publicly Available Date: Mar 8, 2017
• Journal: Chinese Journal of Aeronautics
• Print ISSN: 1000-9361
• Publisher: Elsevier
• Volume: 30
• Issue: 1
• Pages: 149-163
• DOI: https://doi.org/10.1016/j.cja.2016.12.013
• Publisher URL: http://dx.doi.org/10.1016/j.cja.2016.12.013
• Related Public URLs: http://www.sciencedirect.com/science/journal/10009361