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软测量在检测碳酸化塔中CO_2浓度的应用
引用本文:王根平,张玉润,周春晖. 软测量在检测碳酸化塔中CO_2浓度的应用[J]. 化工学报, 1999, 50(1): 22-30
作者姓名:王根平  张玉润  周春晖
作者单位:浙江大学工业控制技术国家重点实验室!杭州310027,浙江大学工业控制技术国家重点实验室!杭州310027,浙江大学工业控制技术国家重点实验室!杭州310027
摘    要:利用自适应滤波辨识的方法,构造了联碱碳酸化塔中CO_2浓度的估计器,解决了在碳酸化过程中不能在线检测碳酸化塔中CO_2浓度的难题,对碳酸化过程的有效控制和节约检测成本有着积极的意义.

关 键 词:CO2浓度  自适应辨识  卡尔曼滤波  软测量
修稿时间:1998-09-24

SOFT MEASUREMENT FOR CO2 CONCENTRATION IN CARBONATOR TOWER OF AMMONIA SODA PROCESS
Wang Genping,Zhang Yurun,Zhou Chunhui. SOFT MEASUREMENT FOR CO2 CONCENTRATION IN CARBONATOR TOWER OF AMMONIA SODA PROCESS[J]. Journal of Chemical Industry and Engineering(China), 1999, 50(1): 22-30
Authors:Wang Genping  Zhang Yurun  Zhou Chunhui
Abstract:In a carbonator tower, the change of CO2 concentration can be reflected by the alteration of some other parameters, such as temperature, pressure, and gas flow in the tower. Based on this consideration , an estimator of CO2 concentration in the tower was formed, which gives the CO2 concentration by calculating the values of temperature, pressure, and gas flow with an algorithm. Considering the time varying environment of the tower, the estimator was designed with self- adaptive attribute, so that it can work effectively under varying environment. By using the estimator, the value of CO2 concentration in the tower can be predicted online. It not only provides useful information for control, but also saves the cost for measuring CO2 concentration.
Keywords:CO2 concentration   adaptive identification   Kalman filter   soft measurement
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