Optimal design of Vertical-Taking-Off-and-Landing UAV wing using multilevel approach

被引:0
作者
Yue H. [1 ,2 ]
Bassir D. [3 ,4 ]
Medromi H. [1 ,2 ]
Ding H. [5 ]
Abouzaid K. [6 ]
机构
[1] National and High School of Electricity and Mechanic (ENSEM), Hassan Ii University, Casablanca
[2] Research Foundation for Development and Innovation in Science and Engineering (FRDISI), Casablanca
[3] CNRS/UMR 5060, Université de Technologie de Belfort-Montbéliard
[4] Centre Borelli, Cmla, Ens Cachan, Cnrs, Université Paris-Saclay, Cachan
[5] Institute of Industry Technology, Guangzhou and Chinese Academy of Sciences (IIT, GZandCAS), Guangzhou
[6] Inrae, Avignon University, Umr Emmah, Avignon
关键词
Canard wing; CFD; Hybrid UAV; Multilevel optimization approach; RSM; VTOL;
D O I
10.1051/smdo/2020020
中图分类号
学科分类号
摘要
In order to overcome the propre disadvantages of FW(Fixed-Wing) and VTOL(Vertical-Taking-Off-and-Landing) UAV (Unmanned Aerial Vehicle) and extend its application, the hybrid drone is invested more in recent years by researchers and several classifications are developed on the part of dual system. In this article, an innovative hybrid UAV is raised and studied by introducing the canard configuration that is coupled with conventional delta wing as well as winglet structure. Profited by Computational Fluid Dynamics (CFD) and Response Surface Method (RSM), a multilevel optimization approach is practically presented and concerned in terms of cruise flight mode: adopted by an experienced-based distribution strategy, the total lift object is respectively assigned into the delta wing (90-95%) and canard wing(5-10%) which is applied into a two-step optimization: the first optimization problem is solved only with the parameters concerned with delta wing afterwards the second optimization is successively concluded to develop the canard configuration considering the optimized delta wing conception. Above all, the optimal conceptual design of the delta and canard wing is realized by achieving the lift goal with less drag performance in cruise mode. © 2020 H. Yue et al., published by EDP Sciences.
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