The Research On Eural-Fuzzy Control Of Flatness For Four-Roller Rolling Mill

Strip production is very important in national product, which is widely used in automotive vehicle, household appliance and space navigation technology etc. With the development of our society, more and more high-quality products are needed by customers. Thickness precision and flatness are two main quality targets. Up to now, the problem of thickness precision has been solved on the whole, however, the problem of flatness has not been solved satisfactorily and it is more and more urgent to solve the problem.Tilting roll and bending roll are two common flatness control means and they are main means of eliminating linear and quadratic flatness. In practice, conventional PID mode is used widely, based on which fuzzy PID based on neural network is used in tilting roll and bending roll control to raise flatness control ability of conventional PID mode using neural network to adjust the parameters of PID controller in the paper.Sub-sectional cooling is also common flatness control means, which is mainly used to eliminate higher degree flatness. It is a most complex process and it is hard to build a precise mathematical model, so self-adaptive fuzzy control effects for sub-sectional cooling model is built by identifying sub-sectional cooling model by higher degree flatness information of flatness data and gaining dynamic fuzzy controller to raise higher degree flatness control quality in the paper.Last in the paper, a dynamic simulating software is compiled base on the built flatness intellect control model, by which flatness control effects. Simulating results indicate that the built fuzzy PID based on neural network tilting roll and bending roll model and self-adaptive fuzzy control effects for sub-sectional cooling model have high reliability and strong adaptability, raising flatness integrated control precision, promoting the development of flatness control and having important practical value.