Smith Prediction Monitor AGC System Based on Fuzzy Self-Tuning PID Control

查看全文 作　　者：SUN Jie ZHANG Dian-hua LI Xu ZHANG Jin DU De-[1]shun

机构地区：[1]State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, Liaoning, China

出　　处：《Journal of Iron and Steel Research(International)》索引2010年第17卷第2期,共5页

基　　金：Item Sponsored by National Natural Science Foundation of China (50634030) 摘　　要：In accordance with the feature of pure delay in monitor AGC system for cold rolling mill, a new fuzzy self-tuning PID Smith prediction controller is developed. The position control model is deduced based on a single stand cold rolling mill, and the fuzzy controller for monitor AGC system is designed. The analysis of dynamic performance for traditional PID Smith prediction controller and fuzzy self-tuning PID Smith prediction controller is done by MATLAB toolbox. The simulation results show that fuzzy self-tuning PID Smith controller has stronger robustness, faster response and higher static accuracy than traditional PID Smith controller. 关键词：模糊自整定PID控制 AGC系统史密斯 SMITH预估控制器监控 PID控制器预测动态性能分析

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Smith Prediction Monitor AGC System Based on Fuzzy Self-Tuning PID Control

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