高精度电子分析天平参数估计与滤波  

High-precision electronic analytical balance parameter estimation and filtering

作　　者：陈星燎 刘通 卢姗 房雪键 Chen Xingliao;Liu Tong;Lu Shan;Fang Xuejian(Intelligent Manufacturing College,Tianjin Sino-German University of Applied Sciences,Tianjin 300350,China;Tianjin Academy of Science and Technology for Development,Tianjin 300051,China)

机构地区：[1]天津中德应用技术大学智能制造学院,天津300350 [2]天津市科学技术发展战略研究院,天津300051

出　　处：《电子测量与仪器学报》2023年第10期65-73,共9页Journal of Electronic Measurement and Instrumentation

基　　金：天津自然基金面上项目(21JCYBJC00670)资助。

摘　　要：电子分析天平的传感器结构和测量电路比较复杂,不能够精确求出系统的传递函数。为了估计出系统的传递函数并提高测量数据的信噪比,先通过拉氏变换的方法估计了系统传递函数的阶数,推导了稳态下系统的状态方程,通过自回归方法估计系统参数并结合卡尔曼滤波的方法对测量结果滤波。试验通过离线数据估计出了方程参数和噪声强度,并验证了测量过程数据的平稳性,显著性水平低至0.001。参数估计加卡尔曼滤波混合方法与普遍采用的滑动窗口滤波法作了比较,新方法的平滑性和稳定性均有显著提高,测量标准差可达原有方法的30%,线性度可达6.7×10^(-5),响应时间较原方法低至10%。4个样品的试验数据验证了该方法的可行性和有效性。The sensor structure and measurement circuit of electronic analytical balances are complex and cannot accurately calculate the transfer function of the system.In order to estimate the transfer function of the system and improve the signal-to-noise ratio of the measurement data,the order of the transfer function of the system is estimated by the method of Laplace transform,the equation of state of the system under steady state is derived,and the method of estimating the system parameters by autoregressive method and combining with Kalman filtering is proposed to filter the measurement data.Through the experimental estimation of equation parameters and noise intensity from offline data,the filtered data verify the smoothness of the process,and the significant level is as low as 0.001.Compared with the commonly used sliding window filtering method,the smoothness and stability of the new method are significantly improved,the measurement standard deviation is 30%of the original method,the linearity can reach 6.7×10^(-5),and the response time is as low as 10%.The experimental data of four samples verify the feasibility and effectiveness of the proposed method.

关 键 词：电子分析天平 AR参数估计 混合滤波 

分 类 号：TH715.116[机械工程—测试计量技术及仪器] TN431.1[机械工程—仪器科学与技术]