纸浆洗涤过程双目标优化分布式控制系统

Pulp washing process DCS based on double-objective optimization

提出了一套新型纸浆洗涤过程DCS控制方案 .基本控制思想是 :通过控制真空洗浆机进浆流量和进浆浓度、黑液喷淋量、洗浆机液位和清水注入量来保证洗涤质量 ;通过两步辨识法建立洗后浆残碱量和首段黑液波美度的神经网络模型 ,并对清水加入量和产量进行双目标优化 .采用新华XDPS软件平台实现了纸浆洗涤过程的DCS控制 .系统已投入运行 ,控制效果良好 .

A novel pulp washing process DCS (distributed control system) is proposed. The basic control strategy is just as below. The pulp washing quality is guaranteed by regulating the inlet stock flow and consistency of filter washer, black liquor showering flow, washer level and green water inlet flow. The neural network models of the residual soda of washed pulp and the Baume degree of the first stage black liquor are modeled via two-step identification method. At last a double_objective optimization of the green water input and washed pulp output is done. The DCS is in implemented successfully on XDPS platform of Xinhua Company Limited. It has been in operation and improved the pulp washing quality greatly.