This article describes the development process of surrogate models and introduces some experiment design methods and approximation approaches that can be used for a mdo surrogate model , they are full factorial experiment design , orthogonal experiment design , uniform experiment design , central - composite experiment design , and polynomial response surface method , kriging method , radial basis function method and artificial neural network 為此本文中分別介紹了正交試驗(yàn),均勻試驗(yàn)以及中心復(fù)合試驗(yàn)等幾種試驗(yàn)設(shè)計(jì)方法,以及多項(xiàng)式響應(yīng)面, kriging ,和徑向基函數(shù)等幾種數(shù)學(xué)近似方法。并且通過(guò)構(gòu)造描述機(jī)翼展向升力分布的代理模型,對(duì)上述幾種方法作了對(duì)比分析。