| 铝热粗轧机自适应辊缝动态设定 |
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| 引用本文： | 杨景明,李永泽,王洪庆,车海军,杜楠.铝热粗轧机自适应辊缝动态设定[J].矿冶工程,2014,34(2):108-112. |
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| 作者姓名： | 杨景明 李永泽 王洪庆 车海军 杜楠 |
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| 作者单位： | 1.国家冷轧板带装备及工艺工程技术研究中心, 河北 秦皇岛 066004;
2. 燕山大学 工业计算机控制工程河北省重点实验室, 河北 秦皇岛 066004;
3.天津电气传动设计研究所, 天津 300180 |
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| 基金项目： | 国家自然科学基金钢铁联合基金资助项目(U1260203);河北省科学技术研究与发展计划基金资助项目(10212157) |
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| 摘 要： | 针对某现场铝热粗轧板带头部厚度偏差较大现象, 应用自适应模糊神经网络控制技术, 建立了热粗轧辊缝动态设定系统。该系统将轧制力预报误差及弹跳方程误差作为输入, 运用模糊神经网络预测下一道次的辊缝设定补偿值, 并以实际数据对系统进行校验, 结果显示该方法可以大幅提高铝热粗轧板带头部厚度精度。
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| 关 键 词： | 铝热粗轧 轧机 轧制 模糊神经网络 自适应 辊缝动态设定 |
| 收稿时间： | 2013-12-21 |
Dynamic Setting of Adaptive Roll Gap in Aluminum Hot Roughing Mill |
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| YANG Jing-ming,LI Yong-ze,WANG Hong-qing,CHE Hai-jun,DU Nan.Dynamic Setting of Adaptive Roll Gap in Aluminum Hot Roughing Mill[J].Mining and Metallurgical Engineering,2014,34(2):108-112. |
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| Authors: | YANG Jing-ming LI Yong-ze WANG Hong-qing CHE Hai-jun DU Nan |
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| Affiliation: | 1.National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao 066004, Hebei, China;
2.Key Lab of Industrial Computer Control Engineering of Hebei Province, Qinhuangdao 066004, Hebei, China;
3.Tianjin Design and Research Institute of Electric Drive, Tianjin 300180, China |
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| Abstract: | In view of the big deviation in head thickness of aluminum hot roughing strip, a dynamic setting system for roll gap was established using an adaptive fuzzy neural network control technology. This system adopts the prediction error of rolling force and the error of spring equation as inputs and uses fuzzy neural network to predict the set compensation of roll gap in the next pass, finally was verified by actual data. The results show that this method can greatly improve the head thickness accuracy of aluminum hot roughing strip. |
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| Keywords: | aluminum hot roughing rolling mill rolling fuzzy neural network adaptive dynamic setting of roll gap |
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