基于支持向量机的直升机建模

为建立高精度的直升机仿真模型，首次把支持向量机方法引入直升机智能化建模领域。对实际飞行数据进行野值剔除、高频滤波和微分平滑等预处理。在此基础上，利用支持向量机建立了直升机自转着陆过程的旋翼转速模型。与神经网络模型相比，该模型具有结构简单、运算速度快、泛化能力高等特点。理论分析和仿真结果表明，用支持向量机建立直升机的仿真模型是切实可行的。

Modeling for helicopter based on support vector machine

To construct simulation model of a helicopter with high precision,the Support Vector Machine(SVM) method was introduced to the field of intelligent modeling of a helicopter.Based on pretreatment of practical flight data,such as eliminating outliers,filtering of high frequency noise,and differential smooth,the rotator speed model for landing process of a helicopter with rotator self-rotating was built up.Compared to the neural network model,the SVM simulation model of the helicopter was characterized by its ...