基于遗传算法的低雷诺数高升力翼型的优化设计  

Optimization Design of a High-Lift Airfoil at Low Reynold Numbers Based on Genetic Algorithm

作　　者：张亚锋[1] 宋笔锋[1] 张炜[1] 

机构地区：[1]西北工业大学航空学院,陕西西安710072

出　　处：《航空计算技术》2006年第1期97-99,共3页Aeronautical Computing Technique

摘　　要：利用遗传算法进行低雷诺数高升力翼型的气动优化设计,优化后的翼型其气动特性有明显改善,从而表明利用遗传算法进行翼型气动优化的可行性。在优化设计过程中翼型由解析函数线性叠加法表示,并对设计翼型进行了升力系数和阻力系数的气动计算,以提供目标函数和个体的适应值。The paper presented here demonstrates the application of genetic algorithm on aerodynamic optimization design of lower Reynold number high - lift airfoils and optimized airfoil have a considerable improvement on aerodynamic performance, show the feasibility of genetic algorithm applied on aerodynamic optimization design. During the course of aerodynamic optimization design, geometric shape of airfoil is represented by linear combination of analytical functions, and objective function and fitness of every individual are provided by aerodynamic computer result of lift coefficient and drag coefficient of designed airfoil.

关 键 词：雷诺数 翼型 遗传算法 气动优化设计 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]