Cooling Process Control of Rolled Plate

The cooling process of rolled plate only depend on feedforward model, but the existing precision of commonly used temperature models are not high enough for controlling properly the process. A differential equation was therefore deduced as the model to control the plate cooling process, of which the 1st and 2nd, especially the self-learning modifications were carried out for calculation in combination with the reform of the cooling control system for Shougang's Plate Mill, thus providing the precision systematically for its temperature control. A calculation using a heat transfer coefficient is presented in plate laminar cooling to adapt to the plate cooling characteristics, then a self￣learning algorithm of laminar flow cooling is given, by which the model's control precision is further improved. The control cooling system has been applied to Shougang's Plate Mill and showed a 96.5% acceptability in temperature control.