关键词: 支持向量机, 直升机, 仿真模型, 泛化能力

Abstract: 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 simple structure， fast convergence speed and high generalization ability. It was revealed by theoretic analysis and simulation result that simulation model of a helicopter by SVM method was feasible.

Key words: support vector machine, helicopter, simulation model, generalization ability0引言