Fuzzy Shape Control Based on El man Dynamic Recursion Network Prediction Model  

作　　者：JIA Chun-yu LIU Hong-min 

机构地区：[1]College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China

出　　处：《Journal of Iron and Steel Research International》2006年第1期31-35,共5页

基　　金：ItemSponsored by Provincial Natural Science Foundation of Hebei Province of China (E2004000206)

摘　　要：In the strip rolling process, shape control system possesses the characteristics of nonlinearity, strong coupling, time delay and time variation. Based on self adapting Elman dynamic recursion network prediction model, the fuzzy control method was used to control the shape on four-high cold mill. The simulation results showed that the system can be applied to real time on line control of the shape.In the strip rolling process, shape control system possesses the characteristics of nonlinearity, strong coupling, time delay and time variation. Based on self adapting Elman dynamic recursion network prediction model, the fuzzy control method was used to control the shape on four-high cold mill. The simulation results showed that the system can be applied to real time on line control of the shape.

关 键 词：shape prediction shape control Elman dynamic recursion network parameter self-adjusting fuzzy control 

分 类 号：TG335.56[金属学及工艺—金属压力加工] TP273.4[自动化与计算机技术—检测技术与自动化装置]