Nonlinear decoupling of spatially hierarchically structured FBG 3D vibration acceleration sensor based on WOA-ELM

被引：0
|
作者：
Sun, Shizheng [1 ]
Wu, Yufeng [1 ]
He, Jiang [1 ]
Xu, Xiangyang [1 ]
Chen, Renxiang [1 ]
机构：
[1] School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing,400074, China
来源：
Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument | 2024年 / 45卷 / 07期
关键词：
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; 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. © 2024 Science Press. All rights reserved;
D O I：
10.19650/j.cnki.cjsi.J2412783
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页码：139 / 147
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