压差式流量计误差自动化修正算法研究  

Study of Automated Error Correction Algorithm for Differential Pressure Flow Meter

作　　者：黄秀娟[1] HUANG Xiujuan(Changzhou Liuguojun Branch,Jiangsu United Vocational and Technical College,Changzhou 213000,China)

机构地区：[1]江苏联合职业技术学院常州刘国钧分院,江苏常州213000

出　　处：《自动化仪表》2024年第5期45-49,共5页Process Automation Instrumentation

基　　金：江苏省职业教育教学改革研究基金资助项目(ZYB141)。

摘　　要：针对在多干扰源扰动下压差式流量计测量结果面临输出不稳、误差较大的问题,提出多源扰动下的压差式流量计误差自动化修正算法。考虑全补偿气体可膨胀性系数、压缩系数、密度系数和流出系数等因素,研究压差式流量计误差自动化修正算法。利用均值滤波滤除信号中的高斯噪声,结合一阶滞后滤波优化卡尔曼滤波算法,修正多源扰动误差。引入自组织算法和Volterra神经网络进一步改进卡尔曼滤波算法,并优化卡尔曼滤波算法的先验模型参数,以实现多源扰动误差的自动化修正。试验结果表明,经该算法控制后:当参考流量为900 m^(3)/h时,示值误差绝对值为0.203%;当参考流量为700 m^(3)/h时,流量计重复性为0.06%。该研究可以有效识别并修正由于多源扰动造成的流量异常值,且流量测量精度较高。Aiming at the problem of unstable output and large error of differential pressure flow meter measurement results under the multi-source disturbance,the automated error correction algorithm for differential pressure flow meter under the multi-source disturbance is proposed.Considering the fully compensated gas expandability coefficient,compression coefficient,density coefficient and outflow coefficient and other factors,the automatic error correction algorithm for differential pressure flow meter is studied.The Gaussian noise in the signal is filtered by mean filtering,and the Kalman filtering algorithm is optimized by combining with the first-order hysteresis filtering to correct the multi-source disturbance error.Self-organizing algorithm and Volterra neural network are introduced to further improve the Kalman filtering algorithm and optimize the priori model parameters of the Kalman filtering algorithm to realize the automated error correction of multi-source disturbance.The experimental results show that after controlled by the algorithm,when the reference flow is 900 m^(3)/h,the absolute value of the indication error is 0.203%;when the reference flow is 700 m^(3)/h,the repeatability of the flow meter is 0.06%.The study can effectively identify and correct the flow outliers due to multi-source disturbance,and the flow measurement accuracy is high.

关 键 词：多源扰动 压差式流量计 误差数据 误差自动化修正 卡尔曼滤波 误差补偿 自组织算法 Volterra神经网络 

分 类 号：TH-39[机械工程]