Research On Mill Roll Gap Control System Based On Single Neuron PID

With the rapid development of the national economy and the continued progress ofscience and technology, the accuracy requirements in various areas on the plate and strip aregetting higher and higher. Therefore, the precision of plate and strip becomes research hotspotin steel enterprises. Thickness accuracy of rolling mill is related to many factors, in addition tothe performance of the mill, also associated with the control strategy of rolling mill controlsystem. In view of the classical control theory control strategy is relatively backward,advanced control theories need to be applied to the study of plate strip, to improve the platestrip accuracy and adapt to the need of modern production.In this paper, the research object is hydraulic roll gap control system of300mm four-highrolling mill, through the improvement of rolling mill control strategy to improve the systemperformance of rolling mill. In this paper, on the basis of the original PID control strategy ofthe mill, We present the single neuron PID control strategy which is formed by combiningintelligent control theory and PID theory, through the mechanism modeling method,establishes the mathematical model of rolling mill hydraulic roll gap control system, then twokinds of control strategies are simulated in MATELAB. The simulation results show that：Single neuron PID control is better than PID control strategy for controlling the thickness ofthe mill hydraulic roll gap control system accuracy. After determined the control strategy,based on the use of Siemens S7-300as lower computer control core overall design, includingpressure systems, detection systems and communication systems. Then the WINCCconfiguration software is used as a PC control interface design.Finally, the actual plate and strip rolling experiment was done by using two differentcontrol strategies on experiments mill. The results show that: single neuron PID controlmethod used in the precision of the control panel strip is better than PID control. System hassmaller overshoot, faster response, and better robustness.