Research on the Identification Method and Modeling of Unmanned Aerial Vehicle based on Neural Network

摘要

Because of its unique system features, it is very difficult for small rotor UAVs to be modeled. In this paper, the method of unmanned aerial vehicle modeling is summarized in detail. In order to achieve a good control effect, the accuracy of the model is very important for the design and verification of the control law. In this paper, the linear model and nonlinear model identification method and identification algorithm of unmanned aerial vehicle are proposed. The simulation results show that the attitude control precision is improved effectively.