摘要
采用遗传算法对微型飞行器翼型进行优化设计,在优化过程中翼型由解析函数线性叠加法表示,通过计算流体力学（computational fluid dynamics,CFD）软件Fluent对设计的翼型进行了升力系数和阻力系数的气动计算,然后应用遗传算法,以最大升阻比为目标,得到了一组优化的翼型外形参数,并用Isight软件集成实现了计算过程的自动化。
The paper presented here demonstrates that the use of genetic algorithm for optimization design of airfoil, during the course of optimization design, geometric shape of airfoil is represented by linear combination of analytical functions, and the aerodynamic performance of the designed airfoil is directly calculated by CFD. Then the genetic algorithm, with the maximum lift-drag ratio as the goal, is applied to obtain a group of optimized parameters of the airfoil. In order to realize the automation, the author uses the software of Isight to integrate these processes
出处
《装备指挥技术学院学报》
2009年第6期117-119,共3页
Journal of the Academy of Equipment Command & Technology
基金
部委级资助项目
关键词
遗传算法
翼型
微型飞行器
genetic algorithm
airfoil
micro air vehicles（MAVs）
