基于遗传算法的打浆过程加权优化控制  

Weighted optimization and control of beating process based on genetic slgorithus

作　　者：周强[1] 孙瑜[1] 王孟效[1] 

机构地区：[1]陕西科技大学电气与电子工程学院,陕西咸阳712081

出　　处：《中华纸业》2004年第3期51-54,共4页China Pulp & Paper Industry

基　　金：国家外专局引智项目(WJ20022067);陕西省教育厅产业化培育项目(02JC17);陕西科技大学自选科研项目(ZX02-41)

摘　　要：以打浆过程作为研究对象,在打浆工段的DCS系统中,采用遗传算法来实现对打浆过程各参数的最优化,并以优化结果作为DCS系统现场级各闭环回路的给定值。实践证明这种优化控制方法使打浆能耗大幅度降低,纤维切断减少,帚化程度增加,浆纸物理性质普遍提高。Research was made on the process of beating and refining during which parameters were optimized based on genetic algorithus. Theresultant optimum parameter was then used as target-value of all local closed-loop control units in the Distribution Control System of beating.It was proved that this method has better effect on achieving lower energy consumption, higher tensile index, burst index.

关 键 词：遗传算法 打浆过程 加权优化控制 DCS系统 打浆设备 造纸 

分 类 号：TS74[轻工技术与工程—制浆造纸工程]