UC轧机二次型板形缺陷模糊神经网络控制

Fuzzy Neural Network Control for Shape Defects of Quadratic Form of UC Rolling Mill

针对UC轧机中间辊弯辊回路的非线性过程精确控制问题,将模糊控制与神经网络结合,设计模糊神经网络控制器并将其应用于对中间辊弯辊回路的控制中。介绍了由神经网络结构组成的模糊控制器,网络完成模糊化、模糊推理、清晰化操作,模糊规则和系统的输入输出由梯度下降法进行调整。仿真结果表明,这种模糊神经网络控制器能很好地跟踪二次板形的目标设定值,系统的响应快,超调小,鲁棒性强。

The problem of shape defects of quadratic form in the control system of universal crown rolling mill is discussed. To realize accurate control of bending of the intermediate mils, a fuzzy neural network is presented to control the loops of bending of the intermediate mils in which fuzzy logic control and neural network are combined. The experimental result shows that the control effect is excellent, with small ultra-regulated and good robustness, reaching the goal of the intelligence control for shape on line.