Armature Electromagnetic Force Extrapolation Prediction Method for Electromagnetic Railgun at High Speed

The analysis and calculation of the armature electromagnetic force is premise studying dynamic characteristics railgun. Aiming at problem numerical solution “pseudo-oscillation” high speed, an extrapolation prediction method based on Deep Belief Network-Deep Neural Network (DBN-DNN) proposed. Firstly, field control equation dynamics equation, considering influence movement, are given, finite element simulation model railgun established to analyze stability force. Then, stable data under different conductivities, a DBN-DNN proposed realize standard conductance. Finally, performance tested by two cases. Additionally, we further propose training strategy parameters from solving low conductivity conductivity. for whole launch process speed provides new idea characteristic high-speed