Study on Thickness and Form Control System Optimized by Genetic Algorithm for Cold Rolling Strip-steel
This paper is focused on thickness and form control system for cold rolling strip-steel.A mechanical model and algorithm for electro － hydraulic servo system is built by using neural network adaptive control method ，which is used the features virtues of artificial neural network..This thesis establishes a GA-NNI model based on analyzing of algorithm and realized the real-time control of electro － hydraulic servo system.Simulation results show that the controlling system has higher precision ，quicker response and steadier function. This model lays the basis for developing the better rolling mill.
Electro-hydraulic servo system Thickness and form control Neural network Genetic algorithm
Guo Lafeng Zhang Chunyuan Wu Fujia
College of Mechanical Engineer, North University of China, No.3 Xueyuan Road, Taiyuan, Shanxi, 030051
国际会议
北京
英文
2007-08-05（万方平台首次上网日期，不代表论文的发表时间）