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低雷诺数小型折叠无人机翼型优化设计
引用本文:梅小宁,杨树兴,陈军.低雷诺数小型折叠无人机翼型优化设计[J].航空计算技术,2010,40(2):14-17.
作者姓名:梅小宁  杨树兴  陈军
作者单位:1. 北京理工大学,宇航科学技术学院,北京,100081
2. 北京理工大学,机电工程学院,北京,100081
基金项目:国防基础科研项目资助 
摘    要:实现了一种可用于低雷诺数小型折叠无人机翼型优化设计的方法。采用Ferguson曲线对翼型进行参数化描述,并引入折叠状态下截面的几何关系作为附加约束,使用遗传算法和序列二次规划相结合作为寻优算法,对翼型升阻比和折叠空间允许的最大弦长进行优化。在isight平台上集成xFoil和matlab实现了这一优化流程。实例表明了方法的有效性,优化结果可以作为此类无人机翼型设计的参考。

关 键 词:折叠无人机  翼型  气动  遗传算法  优化设计

Optimization Design for Low Reynolds Number Foldable UAV Airfoil
MEI Xiao-ning,YANG Shu-xing,CHEN Jun.Optimization Design for Low Reynolds Number Foldable UAV Airfoil[J].Aeronautical Computer Technique,2010,40(2):14-17.
Authors:MEI Xiao-ning  YANG Shu-xing  CHEN Jun
Institution:1. School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081 ; 2. School of Mechatronic Engineering, Beijing Institute of Technology, Beifing 100081 )
Abstract:This paper presents an optimization design method for low Reynolds number foldable UAV airfoil. Ferguson curve was used to describe the parametric airfoil,the geometric relationships in folding state were inducted as additional constrains, the combination of genetic algorithm and sequential quadratic programming was used as seeking optimization algorithm, the liftdrag ratio of airfoil and available chord of wing in folding state were objective functions. The optimization process was realized on platform iSight by integrating software xFoil and matlab. Practical example shows the efficiency of this optimization process, and the result can be used as reference for foldable UAV airfoil design.
Keywords:foldable UAV  airfoil  aerodynamic  genetic algorithm  optimization design
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