模糊神经网络在压边力智能控制中的应用  

Application of Fuzzy Neural Network to the Intelligent Control of Blank-holding Force

作　　者：汪锐[1] 郑晓丹[1] 罗亚军[1] 何丹农[1] 张苇[2] 郦钧[1] 

机构地区：[1]上海交通大学国家模具CAD工程研究中心,上海200030 [2]上海大众汽车有限公司,上海201805

出　　处：《南京理工大学学报》2001年第5期494-498,527,共6页Journal of Nanjing University of Science and Technology

基　　金：上海市科学技术发展基金项目 (9911110 11);上海市汽车基金项目 (2 194A)

摘　　要：应用模糊神经网络专家系统实现了冲压成形过程中压边力的智能化控制 ,对系统模糊神经网络的构造和模糊神经推理机制进行了详尽的说明 ,介绍了压边力模糊神经网络系统优化控制的设备及实现 。Fuzzy neural network based expert system was applied to the artificial intelligent control of blank holding force (BHF) in sheet stamping process. The paper explains the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism in detail. Main equipment of BHF test and optimal control system is introduced in detail, by which the rule of cup with flange forming process was studied.

关 键 词：压边力 优化控制 模糊神经网络 冲压 智能控制 专家系统 

分 类 号：TG306[金属学及工艺—金属压力加工] TP18[自动化与计算机技术—控制理论与控制工程]