压力变送器非线性校准及温度补偿方法的研究  

Research on nonlinear calibration and temperature compensation method of pressure transmitter

作　　者：朱志峰 张海宁[1] Zhu Zhifeng;Zhang Haining(School of Electronic Information Engineering,Xi′an Technological University,Xi'an 710021,China)

机构地区：[1]西安工业大学电子信息工程学院,西安710021

出　　处：《电子测量技术》2021年第21期71-76,共6页Electronic Measurement Technology

基　　金：压力变送器批量自动标定系统(2019-GY078)项目资助。

摘　　要：新研制或生产的压力变送器需对它的技术性能指标进行全面检测,保证量值的精准输出。压力传感器经过一段时间储存积累使用或修理后也要对它主要的技术性能进行二次检定,保证其性能指标达到要求标准。现实生产中及工作环境的影响导致其输出产生非线性输出,因此提出一种基于三阶非线性多项式的逆模型进行压力变送器的非线性校准和采用改进粒子群优化算法的小波神经网络模型对其进行温度补偿校准。经过非线性校准后的输出最大绝对误差和常用的端基平移法相比,最大绝对误差从6.026 5减小到了0.308 6,经过改进粒子群优化算法进行温度补偿校准后的输出精度从0.386%降低到0.091%,实现了压力变送器高精度的输出。Newly developed or produced pressure transmitters need to conduct a comprehensive test of its technical performance indicators to ensure accurate output of the value.After a period of storage,accumulation,use,or repair of the pressure sensor,its main technical performance must be verified twice to ensure that its performance indicators meet the required standards.The impact of actual production and working environment causes its output to produce nonlinear output.Therefore,an inverse model based on the third-order nonlinear polynomial is proposed for the nonlinear calibration of the pressure transmitter and the WA network model using the improved particle swarm optimization algorithm is used for temperature compensation calibration.It performs temperature compensation calibration.The maximum absolute error of the output after nonlinear calibration is compared with the commonly used end-base translation method.The maximum absolute error is reduced from 6.026 5 to 0.308 6.The output accuracy after temperature compensation calibration by the improved particle swarm optimization algorithm is reduced from 0.386% to 0.091%,To achieve the high-precision output of the pressure transmitter.

关 键 词：压力变送器 标定方法 非线性校准 神经网络 温度补偿 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]