模糊神经网络融合建模方法及其在轧制力控制中的应用

针对目前热轧中神经网络控制模型不能满足一些特殊轧制规律钢种精度要求的问题,在深入研究现有热轧模型建立与优化的基础上,结合模糊控制技术,提出在神经网络的基础上建立基于模糊规则补偿模型的融合建模方法.针对两类特殊钢种的特性,详细阐述了基于模糊规则补偿模型的建立及实际应用过程,并根据实际生产经验给出建模中规则库的建立过程.实...

Modeling method of fuzzy neural network and its application in rolling force control

In view of the problem that the neural network control model in hot rolling cannot meet the accuracy requirements of some special rolling laws, on the basis of the research of the foundation and optimization of existing hot mill model, a fusion modeling method based on the fuzzy rule compensation model neural network was proposedcombined with advanced fuzzy control technology.According to the characteristics of two types of special steels,the establishment and practical application process of compensation model based on fuzzy ruleswas explained in details.With the practical production experience,the establishment process of the rule base in the modeling process was confirmed.The application results of practical production process show that the modeling method of fuzzy neural network can effectively improve the calculation accuracy of rolling force and the control precision of thickness, thus improving the quality of hot rolling strip products.