软测量在检测碳酸化塔中CO_2浓度的应用

SOFT MEASUREMENT FOR CO_2 CONCENTRATION IN CARBONATOR TOWER OF AMMONIA SODA PROCESS

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.

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.