SENSITIVITY ANALYSIS FOR ROLLING PROCESS BASED ON SUPPORT VECTOR MACHINE

被引:2
作者
Huang Yanwei Wu Tihua Department of Automation
机构
关键词
Support vector machine(SVM) Cold tandem rolling mill Modeling Sensitivity;
D O I
暂无
中图分类号
TP13 [自动控制理论];
学科分类号
0711 ; 071102 ; 0811 ; 081101 ; 081103 ;
摘要
A method for the calculation of the sensitivity factors of the rolling process has been obtained by differentiating the roll force model based on support vector machine. It can eliminate the algebraic loop of the analytical model of the rolling process. The simulations in the first stand of five stand cold tandem rolling mill indicate that the calculation for sensitivities by this proposed method can obtain a good accuracy, and an appropriate adjustment on the control variables determined directly by the sensitivity has an excellent compensation accuracy. Moreover, the roll gap has larger effect on the exit thickness than both front tension and back tension, and it is more efficient to select the roll gap as the control variable of the thickness control system in the first stand.
引用
收藏
页码:271 / 274
页数:4
相关论文
共 3 条
  • [1] An overview of statistical learning theory. Vapnik V. IEEE Transactions on Neural Networks . 1999
  • [2] Nonlinear modeling and support vector machine. Suykens J. In: IEEE Instrumentation and Measurement Technology Conference Budapest, Hungary . 2001
  • [3] Determination of the thickness control parameters of the rolling process through the sensitivity method, using neural networks. Zarate L E,Helman H. In: ISPE/IEE International Conference on CAD/CAM, Robotics and Factors of the Future, Brazil . 1999