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柔性压力传感阵列弯曲应变与温变联合补偿方法

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围绕柔性压力传感器阵列在弯曲且温度变化的物体表面进行压力测量时会表现出复杂的压力特性,提出了基于深度相机与红外相机的传感器联合补偿装置,介绍了联合补偿装置获取各传感单元补偿参考量与计算真实压力值的方法.采用COMSOL软件对柔性压力传感器阵列进行仿真建模,搭建了各传感单元弯曲应变量各不相同的仿真场景,生成了弯曲应变与温变联合补偿模型的样本集.构建了基于BP神经网络的柔性压力传感器阵列弯曲应变与温变联合补偿模型,经计算验证,压力补偿值与真实值之间的相对误差百分比控制在0.4%以内,补偿效果明显,满足了各传感单元弯曲应变情况不同需要实现精准补偿的需求,对于柔性压力传感器阵列的实际应用具有借鉴作用.
Combined Bending Strain and Temperature Compensation Method for Flexible Pressure Sensing Arrays
Focusing on the complex pressure characteristics of flexible pressure sensor arrays when pressure measurements are performed on curved and temperature-varying surfaces,a joint compensation device for sensors based on depth and infrared cameras is proposed,and a method for obtaining the compensation reference amount for each sensing unit and calculating the true pressure value for the joint com-pensation device is introduced. The software COMSOL is used to simulate and model the flexible pressure sensor array,build a simulation scenario with different bending strains of each sensing unit,and generate a sample set for the joint compensation model of bending strain and temperature change. A BP neural network-based combined bending strain and temperature compensation model for flexible pressure sensor arrays is constructed. After calculation and verification,the relative error percentage between the pressure compensation value and the real value is controlled within 0.4%,and the compensation effect is obvious,which meets the demand for precise compensation for dif-ferent bending strain conditions of each sensing unit and is useful for the practical application of flexible pressure sensor arrays.

flexible pressure sensor arraypressure compensationcompensation deviceCOMSOLBP neural network

陈翰、何聪、许祖锋、张远媛、张为、朱城磊

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东南大学仪器科学与工程学院,江苏 南京210096

南瑞集团(国网电力科学研究院)有限公司,江苏 南京211196

柔性压力传感器阵列 压力补偿 补偿装置 COMSOL BP神经网络

国家重点实验室开放基金(2020)

SGNR0000KJJS2007627

2024

传感技术学报
东南大学 中国微米纳米技术学会

传感技术学报

CSTPCD北大核心
影响因子:1.276
ISSN:1004-1699
年,卷(期):2024.37(3)
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