基于人工鱼群算法及Hicks-Henne型函数的翼型优化设计研究

人工鱼群算法作为一种新型智能算法,具有良好的克服局部极值、取得全局极值的能力,并且该算法具有对搜索空间具有一定自适应能力、寻优速度较快、算法的实现无需目标函数梯度值等特性,使得其能够适用于多种翼型的优化设计。将人工鱼群算法与N-S方程气动数值解法结合,依靠计算流体动力学(CFD)计算技术,对翼型进行气动外形优化设计。在基准翼型的基础上,对翼型的描述采用基于Hicks-Henne型函数的解析函数线性叠加法。利用上述开发的算法对NACA0012和RAE2822进行翼型优化设计,设计结果表明本文发展的优化方法能够很好地适用于进行多种翼型的优化设计。

Aerodynamic Optimization Design of Airfoil Based on AFSA and Hicks-Henne Shape Function

As a new intelligent algorithm,AFSA is capable of overcoming local maxima and obtaining global minimum.And AFSA also have advantages in adaptive capacity of searching space,faster searching and without objective algorithm function gradient during implementation,which make AFSA applicable to a variety of airfoil design optimization.AFSA is combined with the numerical solution of N-S equations,relying on computational fluid dynamics(CFD) calculation technique to optimal design the airfoil shape in aerodynamic...