Modeling and simulation on movement of air cushion vehicle based on neural network

The Air Cushion Vehicle (ACV, also called hovercraft) is greatly influenced by the environment when it is sailing at sea, and it has serious nonlinearity and large inertia. So it is difficult to establish accurate mathematical model. Because of the nonlinear mapping ability of neural networks, the neural network is used to identify the motion model of ACV. The comparison tests between the network model and the simulation model are carried out, and the results verify the feasibility of using the neural network to establish the aerodynamic model of ACV.