冷軋連(lian)續(xu)熱(re)鍍(du)(du)(du)(du)鋅(xin)生產線上，熱(re)鍍(du)(du)(du)(du)鋅(xin)鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)控(kong)制的好壞(huai)直接(jie)影響鍍(du)(du)(du)(du)鋅(xin)板產品質量、產品成(cheng)本和(he)產品的市場競爭力(li)。國內外針對鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)控(kong)制的研究比(bi)較多，比(bi)如(ru)國外鋼(gang)(gang)廠采用長、短期智能預測模型(xing)(xing)(xing)(xing)結合魯棒控(kong)制方(fang)法、鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)自適應模糊控(kong)制模型(xing)(xing)(xing)(xing)等方(fang)法實現鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)的自動控(kong)制，國內大(da)型(xing)(xing)(xing)(xing)鋼(gang)(gang)廠如(ru)寶鋼(gang)(gang)采用基于(yu)神經(jing)網絡的鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)預測控(kong)制模型(xing)(xing)(xing)(xing)，還有的鋼(gang)(gang)廠采用動態矩陣預測控(kong)制DMC串級鍍(du)(du)(du)(du)層(ceng)(ceng)(ceng)厚(hou)(hou)(hou)度(du)(du)(du)控(kong)制系統等。

　　科研工作者以鞍鋼連續熱(re)鍍(du)(du)鋅生產(chan)線為(wei)背景(jing)，對(dui)冷軋熱(re)鍍(du)(du)鋅帶鋼的鍍(du)(du)層(ceng)(ceng)厚度進行精確控(kong)(kong)(kong)制(zhi)(zhi)(zhi)研究，利用有限元分析(xi)軟(ruan)件(jian)FLUENT對(dui)氣刀吹鋅過程進行數值模擬，分析(xi)影響鍍(du)(du)層(ceng)(ceng)厚度精度的主要因素，建立鍍(du)(du)層(ceng)(ceng)厚度自動控(kong)(kong)(kong)制(zhi)(zhi)(zhi)系統(tong)的核心模型，提(ti)出氣刀壓力前饋控(kong)(kong)(kong)制(zhi)(zhi)(zhi)和Smith預估補(bu)償(chang)反饋控(kong)(kong)(kong)制(zhi)(zhi)(zhi)方法，采用LABVIEW軟(ruan)件(jian)開發(fa)鍍(du)(du)層(ceng)(ceng)厚度控(kong)(kong)(kong)制(zhi)(zhi)(zhi)系統(tong)，實(shi)現(xian)鍍(du)(du)層(ceng)(ceng)厚度精確控(kong)(kong)(kong)制(zhi)(zhi)(zhi)。

　　生產數據結果表明，控(kong)制(zhi)(zhi)系(xi)統的(de)(de)應(ying)用降低鍍(du)層(ceng)厚度偏差(cha)，取得了較好的(de)(de)控(kong)制(zhi)(zhi)效(xiao)果。通過鍍(du)層(ceng)厚度自動(dong)控(kong)制(zhi)(zhi)系(xi)統的(de)(de)投入運行，不僅滿足企業(ye)提高產品表面(mian)質(zhi)量的(de)(de)需求(qiu)，而且對節(jie)約成本、降低鍍(du)鋅原料消耗具(ju)有重要意義(yi)。