Study on Trajectory Prediction of Store Separation Based on Error Back-propagation Neural Network
The process of separating bombs or missiles from the carrier aircraft is of great significance to flight safety and mission completion.In order to predict the separation trajectory as comprehensively as possible from the limited experimental or calculation data,an aerodynamic performance prediction model based on error Back-Propagation(BP)neural network is established according to the computational fluid dynamics simulation results of a certain type of aircraft bombing.The selection of the number of hidden layers,the number of hidden layer nodes and the training function are studied.Compared with the results of wind tunnel tests,the store separation trajectory prediction method based on BP neural network in this paper is feasible and can provide reference ideas for the study of similar problems.
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