流化床干燥系统控制方案的优化  

Optimization of control scheme for fluidized bed drying system

作　　者：石英 王秋云 李震震 苏志成 SHI Ying;WANG Qiuyun;LI Zhenzhen;SU Zhicheng(Dezhou Shihua Chemical Co.,Ltd.,Dezhou 253000,China)

机构地区：[1]德州实华化工有限公司,山东德州253000

出　　处：《聚氯乙烯》2023年第10期15-17,23,共4页Polyvinyl Chloride

摘　　要：PVC流化床干燥工艺采用DCS单回路控制时,参数调整及时性和准确性差,系统控制依赖手动调节,能耗大。为解决以上问题,在流化床干燥工艺中引入动态解耦控制模型和循环神经网络模型,优化了干燥系统进料量和PVC树脂水含量,降低了蒸汽消耗。In the PVC fluidized bed drying process which was controlled by DCS single loop,the timeliness and accuracy of parameter adjustment were poor,the system control relied on manual adjustment,and energy consumption was high.To solve the above problems,a dynamic decoupling control model and a recurrent neural network model were introduced into the fluidized bed drying process,which optimized the feed rate of the drying system and the water content of PVC resin,and reduced steam consumption.

关 键 词：PVC 干燥 流化床 水含量 进料量 单回路控制 解耦控制 

分 类 号：TQ325.3[化学工程—合成树脂塑料工业] TQ056.8