Robust airfoil optimization based on improved particle swarm optimization method

Abstract：A robust airfoil optimization platform is constructed based on the modified particle swarm optimization method (i.e.,the second-order oscillating particle swarm method),which consists of an efficient optimization algorithm,a precise aerodynamic analysis program,a high accuracy surrogate model,and a classical airfoil parametric method.There are two improvements for the modified particle swarm method compared with the standard particle swarm method.First,the particle velocity is represented by the combination of the particle position and the variation of position,which makes the particle swarm algorithm a second-order precision method with respect to the particle position.Second,for the sake of adding diversity to the swarm and enlarging the parameter searching domain to improve the global convergence performance of the algorithm,an oscillating term is introduced to the update formula of the particle velocity.At last,taking two airfoils as examples,the aerodynamic shapes are optimized on this optimization platform.It is shown from the optimization results that the aerodynamic characteristic of the airfoils is greatly improved in a broad design range. 作者： Author： Yuan-yuan WANG[1]  Bin-qian ZHANG[1]  Ying-chun CHEN[2] 作者單位： College of Aeronautics, Northwestern Polytechnical University, Xian 710072, P. R. ChinaCollege of Aeronautics, Northwestern Polytechnical University, Xian 710072, P. R. China;Shanghai Aircraft Design Institute, Shanghai 200232, P. R. China 期 刊： 應用數(shù)學和力學（英文版）   EISCI Journal： Applied Mathematics and Mechanics 年，卷(期)： 2011, 32(10) 分類號： V211.3 Keywords： modified particle swarm method    surrogate model    modified back propagation (BP) neutral network    supercritical character    robust design    機標分類號： TP1 TP3 機標關鍵詞： particle swarm optimization    improved    based    particle velocity    aerodynamic characteristic    optimization algorithm    global convergence    high accuracy    two airfoils    performance    combination    analysis    results    update    robust    domain    design    model 基金項目： Robust airfoil optimization based on improved particle swarm optimization method[期刊論文]  應用數(shù)學和力學（英文版） --2011, 32(10)A robust airfoil optimization platform is constructed based on the modified particle swarm optimization method (i.e.,the second-order oscillating particle swarm method),which consists of an efficient o...

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