北华大学学报:自然科学版
北華大學學報:自然科學版
북화대학학보:자연과학판
Journal of Beihua University(Natural Science)
2012年
1期
109-112
,共4页
辊道%PID%自校正%神经网络
輥道%PID%自校正%神經網絡
곤도%PID%자교정%신경망락
roller%PID%self-adjustment%neural network
针对中厚板常化炉的计算机控制系统,详细介绍了辊道控制子系统,并提出了一种基于自校正神经网络PID优化控制算法.采用此算法的常化炉辊道控制系统运行稳定,产品性能指标、生产效率显著提高.
針對中厚闆常化爐的計算機控製繫統,詳細介紹瞭輥道控製子繫統,併提齣瞭一種基于自校正神經網絡PID優化控製算法.採用此算法的常化爐輥道控製繫統運行穩定,產品性能指標、生產效率顯著提高.
침대중후판상화로적계산궤공제계통,상세개소료곤도공제자계통,병제출료일충기우자교정신경망락PID우화공제산법.채용차산법적상화로곤도공제계통운행은정,산품성능지표、생산효솔현저제고.
For the computer control system of the normalizing furnace with the medium steel plate, its subsystem of roller control system is introduced, PID control algorithm based on the self-adjusting artificial neural network is mentioned. The roller control system of normalizing furnace worked stably by adopting the algorithm. In addition, production efficiency and property index improved.