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Control of coiling temperature for hot rolled strip is an important topic in steel manufacturing process. The conventional control system which describes laminar cooling process with an analytical model does not have a good adaptive capability when the boundary conditions vary. Strong non-linear coupling among the control variables makes the conventional control much more difficult. In this study,...
An adaptive learning algorithm using laser velocity meter is proposed for the process control of tandem cold mills. This method is used for on-line adaptive learning calculation of deformation resistance of strip and rolling friction models. The reverse calculation values of deformation resistance and friction coefficient as variables of non-linear equations can be obtained by introducing the measured...
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