Research on Spacecraft Neural Network and Digital Twin Based on Optical Fiber Sensing
A new type of silica fiber doped with Al2O3,Y2O3 and P2O5 was designed,and the refractive index distribution of the fiber core was linear.The fiber Bragg grating was written on the fiber and the grating string was made by femtosecond laser di-rect writing technique.A plurality of grating strings was arranged on a spacecraft satellite model to form a spacecraft intelligent skin which was used for sensing the damage state of a satellite structure.Based on the above measurement data,unity3D software was used to develop a 3D model of the spacecraft and a matching python program to process the data,so as to realize the digital twinning and state perception of the spacecraft.The model was built and BP neural network algorithm was used to train the sens-ing data.The accuracy of the model to predict the impact signal is up to 90％.
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