自回归模型谱估计在流量测量中的应用  

The Application of Autoregressive Model Spectrum Estimation in Flow Measurement

作　　者：刘轶[1] 陈明[1] 刘宗玉[1] 

机构地区：[1]西北工业大学自动控制系905教研室,西安710072

出　　处：《传感技术学报》2004年第3期424-426,439,共4页Chinese Journal of Sensors and Actuators

摘　　要：流量是工业控制与生产中的一个重要参数。目前 ,涡街流量计应用相当广泛。但是 ,由于其工作原理的关系 ,它对外界的各种干扰非常敏感 ,使其现场测量精度大大低于实验室标定的精度。本文的主要目的是以数字信号处理的理论为基础 ,采用自回归模型谱估计的方法对涡街流量计的输出信号进行分析和处理 ,得出要测量的流量值。论文中分别采用计数的方法和自回归模型谱估计的方法进行实验。通过实验验证 ,自回归模型谱估计可以作为一种较好的方法 ,应用于处理流量计的输出信号 ,并且此方法得出的结果比脉冲计数方法得出的结果精度高。Flow value is an important parameter in industrial control and production. At present, vortex flowmeter is widely applied to many fields. But, due to the work principle of vortex flowmeter, vortex flowmeter is sensitive to all kind of extraneous disturbances. These disturbances reduce its measurement accuracy and make the locale measurement accuracy be obviously lower than the accuracy calibrated in laboratory. This article is to develop autoregressive(AR) model spectrum estimation based on the theory of digital signal processing to analyze, and process flow signal, to get the frequency of flow signal and then convert it to flow value. The flow value is compared with the result gained by using count method. Validated by the experiments, the AR model spectrum estimation method is a good way to process flow signal and its results are more accuracy than the results that gain by count method.

关 键 词：流量 涡街流量计 自回归模型 谱估计 

分 类 号：TH814[机械工程—仪器科学与技术]