Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of University of Science and Technology Beijing》 2003-04
Add to Favorite Get Latest Update

Effective Method to Compensate the Nonlinear and Time-delay Part of AGC Strip Gauge Control

LI Zhengxi, LIU Jie, SUN Dehui, ZHAO Rentao North China University of Technology, Beijing 100041, China Anshan Iron & Steel Group, Anshan 114000, China  
Against the problems of time-delay, parameters-varyingness, large inertia, and non-linearity existing in AGC systems, a contrller that combines adaptive centralized time-delay neural network recognition, optimal prediction and immunized fuzzy PID was proposed. The controller effectively improves the accuracy and dynamic performances of the system. Simulations in Matlab show that the controller is superior to traditional control strategies in all design criteria.
【Fund】: 现场总线及自动化北京市重点实验室基金资助项目(2002)
【CateGory Index】: TG334.9
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
Chinese Journal Full-text Database 1 Hits
1 WANG Yao,WANG Xiao-ye(College of Electrical and Automation,Hebei University of Technology,Tianjin 300130,China);Design of Mill Automatic Gauge Control System Based on the Fuzzy Self-adjusting PID Controller[J];Electric Drive;2008-08
Chinese Journal Full-text Database 4 Hits
1 TIAN Shu-hang,JIANG Li-juan (College of Information Engineering,Central South University,Changsha410083,China);Research on the fuzzy PID controller with parameters self-tuning[J];Electrical Drive Automation;2003-06
2 GENG Rui(Heilongjiang Provincial Academy of Supervision and Inspection for Electronic Products,Harbin 150090,China);Computer simulation of the self-adaptive fuzzy PID control system based on MATLAB[J];Information Technology;2007-01
3 (Jiangsu University of Science and Technology)Zhu,Chen Li,Yan;An new Improvement in AGC System[J];;2006-10
4 Wang Yiqun Wang Haifang Gao Yingjie Zhang Wei Yanshan University Qinhuangdao,066004;Neural Network Based Adaptive Identification for Hydraulic AGC System in Strip Mill[J];China Mechanical Engineering;2004-05
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved