摘要
针对电容法测量工业酒精浓度过程中存在的测量误差大、精度低等问题.文中基于最小二乘法的寻优策略,提出了一种电容传感器非线性拟合数据处理算法,搭建了工业酒精浓度检测实验平台,分析了工业酒精浓度对测量电路输出频率的影响.仿真结果表明,利用该处理算法可消除非目标参量,给出了工业酒精浓度与测量电路输出频率之间的函数关系式,有效控制酒精浓度测量误差在0~0.3%的范围内.
The capacitance method for measuring the concentration of industrial alcohol has the disadvantage of low precision .To solve this problem ,the paper ,based on the least squares method of optimization strategy ,presents a nonlinear fitting capacitive sensor data processing algorithm ,with an industrial alcohol concentration detection experiment platform built ,with which the impact of the industrial alcohol concentration on the measurement of the output frequency is analyzed .The simulation results show that the algorithm can eliminate non-target parameters .T he relation betw een the industrial alcohol concentration and the measurement of the output frequency is obtained .The error of the alcohol concentration measurement by this algorithmis within the range from 0 to 0 .3% .
出处
《西安工业大学学报》
CAS
2014年第11期891-895,共5页
Journal of Xi’an Technological University
关键词
电容法
工业酒精
最小二乘法
非线性修正
capacitance method
industrial alcohol
least squares method
nonlinear correction
