Predicting Thickness Of Plate Mill And Study On Fuzzy Control System

The thickness of plate rolling precision is an important indicator of the quality indicators, thickness control, in essence, is rolling mill roll gap control. In this paper, the exports of their impact on the thickness of rolled pieces of various factors and several mill thickness control principle were analyzed. And using GRNN neural network of 4200 mill thickness of predictive models of the thickness forecast. The results show that GRNN neural network model can predict the thickness well, and it has very small relative errors. Through compared with BP network and Elman network, GRNN neural network has improved to some extent in prediction accuracy, achieved a high degree of fit with the measured results. Artificial neural network provides a new solution to solve the AGC problem, especially in the rolling process has broad application prospects, and there will be significance in both theory and practice.Automatic gauge control system is one of the most important parts of the steamrolling plant. This paper describes the conventional PID control algorithm theoretical basis, and analyzes the fuzzy PID control compared to conventional PID control advantages, and detailed description of the fuzzy PID controller design process. A roll seam location parameters of the controlled object the thickness of self-adjusting fuzzy PID control system model was established by MATLAB Fuzzy Logic Toolbox, and the system of plate rolling mill was controlled by fuzzy PID control system. The system of unit step response model of the fuzzy PID controller and the system of unit impulse response of the fuzzy PID controller were established in MATLAB/Simulink environment. By comparing the conventional PID control and fuzzy PID control of the response results, the fuzzy PID controller under the control of the hydraulic system than the conventional PID controller, the overshoot is small, which shows the performance of fuzzy PID controller is superior to conventional PID controller. It provides an effective means for the rolling mill thickness control technology and provides a very good prospect, and provides a new solution for the modern industrial automation at the same time.