基于自适应模糊推理的平面形状控制模型的预报  

Modeling based on ANFIS of plan view pattern control

作　　者：于湘涛[1] 姚小兰[1] 伍清河[1] 费庆[1] 

机构地区：[1]北京理工大学信息科学技术学院自动控制系,北京100081

出　　处：《制造业自动化》2006年第12期27-29,62,共4页Manufacturing Automation

摘　　要：为了使中厚板矩形化,减少切边量和切头尾量,提高成材率,平面形状控制成为解决其有效的方法。边部和头尾的预报模型是平面形状控制的基础,在已有的模型的基础上,分析边部和头尾变形的原因,根据实验数据,应用自适应神经模糊推理系统建立了边部和头尾的模型,并通过仿真验证了模型的正确性。In order to enhance the rectangle level of medium plate and to reduce the plate loss of side and end cutting, Plan View Control is an effective method that increases the finishing product rate. The predictive model of side and end is the base of Plan View Control. On the base of intrinsic model, the reason of side and end deformation is analyzed. The model is set up based on Adaptive-Networks-Based Fuzzy Interference System; the simulation result indicates that the modeling is preciseness.

关 键 词：MAS 自适应神经模糊推理系统 建模 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]