时差法超声波热能流量表的高精度补偿算法研究
Research on high-precision compensation algorithm for ultrasonic thermal energy flowmeter with time difference method
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摘要: 针对仪器检测受管道流速不稳定性、速率变化等因素影响而存在灵敏度不足、测量精度差等难题，以时差法超声波热能流量表为研究对象，提出了一种基于改进Lagrange算法的热能流量表自适应补偿算法.通过研究热量与修正系数的作用关系，建立流量计补偿模型，提出一种加权Lagrange拟合修正算法，可以实现修正系数的自适应校正.实验结果表明，相较于传统算法，本文算法能够提高检测精度、减少测量误差，具有较高的工程应用价值和广阔的市场前景.
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关键词:
- 超声波热能表 /
- 加权Lagrange算法 /
- 工业过程 /
- 校正补偿
Abstract: Aiming at the problems of the insufficient sensitivity and poor measurement accuracy due to the stable flow rate and rate changes and other factors, taking ultrasonic thermal energy flowmeter with time difference method as the research object, an adaptive compensation algorithm for thermal energy flowmeter was proposed. The nonlinear relationship between heat and comprehensive compensation coefficient was studied, a mathematical model of error compensation was established, and then a weighted Lagrange fitting correction algorithm was proposed to realize adaptive correction of comprehensive coefficients. The experimental results showed that, compared with the traditional algorithms, the proposed algorithm could improve the instrument detection accuracy and reduce the measurement error which had high engineering application value. -
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[1]
中国标准化委员会.热量表[M].北京:中国质检出版社,2013.
-
[2]
CHOI H M,YOON B R,KIM C G,et al. Evaluation of flow meters for heat metering[J].Flow Measurement and Instrumentation,2011,22(5):475.
-
[3]
SHUO S,LIU Z G,SUN J T,et al.Study of error in ultrasonic heat meter measurements caused by impurities of water based on ultrasonic attenuation[J].Journal of Hydrodynamics Ser B, 2015, 27(1):141.
-
[4]
陈子静,朱小良.一种基于广义回归神经网络的超声波流量传感器系数求解方法[J].传感技术学报,2015,28(1):56.
-
[5]
杨剑.基于FPGA超声波流量计的设计[D].武汉:武汉理工大学,2012.
-
[6]
陈龙,刘全利,王霖青,等.基于数据的流程工业生产过程指标预测方法综述[J].自动化学报,2017,43(6):944.
-
[7]
KADLEC P,GABRYS B,STRANDT S.Data-driven soft sensors in the process industry[J].Computers & Chemical Engineering,2009,33(4):795.
-
[8]
ZHANG L,ZHANG X G,CHEN H,et al.A robust temperature prediction model of shuttle kiln based on ensemble random vector functional link network[J].Applied Thermal Engineering,2019,150:99.
-
[9]
ZHANG X G,ZHANG L,CHEN H,et al.Prediction of coal feeding during sintering in a rotary kiln based on statistical learning in the phase space[J].ISA Transactions,2018,83:248.
-
[10]
MA J W,LIU Y,ZANG S F,et al.Robot path planning based on genetic algorithm fused with continuous Bezier optimization[J].Computational Intelligence and Neuroscience,2020,2020(1):1.
-
[11]
张贤雨.时差法超声波流量计产业化的关键技术研究[D].重庆:重庆理工大学,2014.
-
[12]
沈子文,徐科军,方敏,等.基于能量变化率的气体超声波流量计信号处理方法[J].仪器仪表学报,2015,36(9):2138.
-
[13]
王磊阳,陈建峰,刘明祥,等.一种高精度时差法超声波水表的设计与实现[J].传感技术学报,2019,32(8):1175.
-
[14]
崔晓志,王翥.超声波热量表流量计量中温度补偿算法研究[J].传感技术学报,2015,28(8):1169.
-
[15]
张新雨,王露,宋念龙,等.基于电涡流传感器的温度位移智能检测方法[J].传感技术学报, 2020,33(8):1176.
-
[16]
JIANG Y D,WANG B L,HUANG Z Y,et al. A model-based transit-time ultrasonic gas flowrate measurement method[J].IEEE Transactions on Instrumentation and Measurement,2017,66(5):879.
-
[17]
JIANG Y D,WANG B L,LI X,et al.A model-based hybrid ultrasonic gas flowmeter[J]. IEEE Sensors Journal,2018,18(11):4443.
-
[18]
ZHANG L,SUGANTHAN P N.A comprehensive evaluation of random vector functional link networks[J].Information Sciences,2016,367/368:1094.
-
[19]
朱建新,李有法.数值计算方法[M].北京:高等教育出版社,2012.
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