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作 者:高山凤[1] 刘鸿飞[1] 郗安民[1] 杨贤[1]
出 处:《机械工程学报》2016年第8期207-212,共6页Journal of Mechanical Engineering
基 金:内蒙古自治区战略性新兴产业专项资金资助项目(2012)
摘 要:针对目前热轧铝板带凸度控制存在的问题,建立以轧辊温度在线测量为基础的分段冷却闭环模糊控制系统。以简单的测量设备和控制方法,代替昂贵复杂的板带凸度控制机构。用实际轧制数据训练自适应PSO-BP神经网络,并用训练完成的神经网络依据目标板带凸度得出轧辊温度预设定模型;依据操作人员的经验以及理论分析结果,设计分段冷却模糊控制规则,形成分段冷却闭环控制系统,达到控制板带凸度的目的。经在某厂二辊可逆热轧上的应用,结果表明:轧辊温度偏差量可控制在±4℃内;铝板带纵向各处的凸度95%以上可控制在目标凸度(20-40μm)范围内。该方法充分发挥了分段冷却系统对板带凸度的控制能力。Based on measuring system of the roll temperature, the closed-loop fuzzy control system of segmented cooling is introduced, in order to solve the problem existing in the control of strip crown in the hot rolling of aluminum alloys. The simple measurement equipment and control system is used, instead of the expensive and complex strip crown control system. First the adaptive PSO-BP neural network is trained with the actual data of rolling, and the temperature presetting model is set by completed training neural network based on the target crown of aluminum strip. Then, the fuzzy control rules of the segmented cooling system are designed according to the operation experience of worker and the results of theoretical analysis. The goal of control strip crown is achieved ultimately. Through the verification of the two high reversible hot rolling mill, the deviation value of roll temperature can be controlled within ±4℃ and the proportion of aluminum strip crown within the scope of target crown(20-40μm) is 95% on the aluminum strip with longitudinal. The method takes full advantage of the control ability of segmented cooling system for strip crown.
分 类 号:TG333[金属学及工艺—金属压力加工]
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