为了使所建气动力模型能准确地刻画飞行器的气动特性,提出一种基于特征提取的小波网络气动力建模方法.通过对横侧向与纵侧向的飞行数据训练样本进行核主成分分析特征,提取出训练样本的基本特征;利用提取的基本特征分别构建横侧向与纵侧向小波网络气动力模型.实验结果表明,提出的集成建模方法预测精度高,用于飞行器的气动力建模是有效的,也是可行的. In order to make the aerodynamic model accurately describe the aerodynamic characteristics of the aircraft, a wavelet network aerodynamic modeling method based on feature extraction is proposed.By analyzing the principal component analysis (PCA) of horizontal and vertical flight data training samples, And the basic characteristics of the training samples are extracted.The aerodynamic models of lateral and longitudinal lateral wavelet networks are constructed respectively by using the extracted basic features.The experimental results show that the proposed integrated modeling method has high prediction accuracy and is suitable for the aerodynamic Modeling is effective and feasible.