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Intelligent Rolling Stand Control System Using Neural Network

There is the currently existing serviceability problem in reversible rolling stands of hot rolling mills. Namely, it is the occurrence of an impact load at the roll bite. To solve this problem there are various methods of the rolling mill control, the mechanisms for preventing the spindle oscillations, etc. The limiting dynamic loads reduce the stand productivity and consequently the all rolling mill. The maximum productivity is possible if the permissible torques effective, the roll forces and accelerations in all transient processes are effectively implemented. Consequently, there is a need for the creation of optimal transient processes that would provide the maximum productivity with minimal overloads. The load torque is of crucial importance for the metal rolling. It affects the formation of the size of the pre-acceleration and, consequently, the quality of the rolled products. The purpose of control of rolling regimes is to provide the set values of speed and rolling torque. In this article, one option being considered is eliminating the impact load using an intelligent system based on a neural network. The scheme of the intelligent system has been reviewed in detail (fig. 2). There are all advantages and disadvantages of intelligent systems are described.