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

作　　者：汤伟[1] 施颂椒[1] 赵小梅[2] 王孟效[3] 郑恩让[3] 

机构地区：[1]上海交通大学自动化系,上海200030 [2]浙江大学工业控制研究所,浙江杭州310027 [3]西北轻工业学院自动化系,陕西咸阳712081

出　　处：《控制理论与应用》2002年第4期555-560,共6页Control Theory & Applications

基　　金：国家"九.五"攻关项目 (97-619-0 2 -0 3 )资助 .

摘　　要：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.

关 键 词：纸浆洗涤过程 双目标优化 分布式控制系统 两步辨识法 DCS 造纸工艺 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]