Fuzzy Controller Based on Adaptive Genetic Algorithm for Electro-Hydraulic Bending Control System
In order to improve the efficiency of strip shapes inner loop and the quality of strip shape, a electro-hydraulic bending fuzzy control system based on adaptive genetic algorithm is proposed for 300 four-high reversing mill with single stand. The electro-hydraulic control system is a typical nonlinear system. In this article, a mathematical model is established after considering the nonlinear factor, then the scaling factors, integrating factor, membership function parameters and control rules of a fuzzy controller are optimized by Adaptive Genetic Algorithm. The results of simulation and experimentation proved that the fuzzy controller optimized is prior to conventional PID controller optimized in robustness performance, dynamic performance and stable precision, which is established the foundation of improving the quality of strip shape.
Bending Adaptive Genetic Algorithm,Fuzzy Control,Strip Shape
Wang Yiqun Liu Yu Xie Yihan Tao Jing
Mechanical Engineering Department of Yanshan University, Qinhuangdao, 066004, China School of Information Science and Technology, Tsinghua University, Beijing, 100084, China
国际会议
北戴河
英文
765-768
2007-06-06（万方平台首次上网日期，不代表论文的发表时间）