To address the issue of interdimensional coupling interference in three-dimensional vibration acceleration sensors,this paper focuses on the spatial layered structure fiber bragg grating(FBG)three-dimensional vibration acceleration sensor.It outlines the basic principle of three-dimensional vibration acceleration sensing.An experimental platform for dynamic calibration of the vibration acceleration is constructed,and the structural coupling characteristics of the sensor are analyzed.A neural network model based on the whale optimization algorithm and extreme learning machine(WOA-ELM)is proposed for non-linear decoupling experiments.The results show that the average measurement errors in the x,y,and z axes are reduced to 1.58％,1.17％,and 0.17％,respectively.Additionally,the maximum values of the average class Ⅰ and class Ⅱ errors are reduced to 0.73％and 0.37％,respectively.The decoupling effect of the WOA-ELM is compared with other algorithms,and the results demonstrate that WOA-ELM is more effective in reducing inter-dimensional coupling interference in the three-dimensional vibration accelerometer sensor,thereby improving measurement accuracy.
维普
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