在线黏度测量中的温度特性研究及其补偿  

Study on Temperature Dependence of Viscosity Measuring and Its Compassion

作　　者：王艳霞[1] 唐为义[1] 刘蕾[2] 

机构地区：[1]青岛科技大学自动化与电子工程学院,山东青岛266042 [2]东北大学机械工程与自动化学院,辽宁沈阳110004

出　　处：《仪表技术与传感器》2009年第5期83-85,共3页Instrument Technique and Sensor

摘　　要：对一类智能应变黏度传感器的工作原理进行了阐述,解析了影响该传感器温度特性的因素。系统基于温度补偿和差分放大电路的集成实现传感器零漂温度校正,采用DS18B20-PAR单总线温度传感器进行温度测量和基于BP算法的神经网络进行温度补偿和校正,使得黏度传感器的输出信号为测量信号的单值函数,消除了温度的影响,试验结果证实提高了测量精度。This paper introduced the principle of intelligent strain viscosity sensor independently designed, and analyzed its temperature dependence. The system used the differential enlargement and temperature compensation circuit to eliminate the measuring error, and adopted DS18B20-PAR to carry on temperature measurement. The back propagation （BP） neural network algo- rithm was adopted, which realized the output signal of viscosity sensor becomes a monodrome function of survey, and temperature dependence was avoided. The experimental result indicates that the measuring accuracy is improved.

关 键 词：黏度传感器 误差分析 DS18B20-PAR 温度补偿 BP算法 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]