MIXING MODELS TO IMPROVE GAUGE PREDICTION FOR COLD ROLLING MILLS

Several techniques exist for evaluation or prediction of the strip gauge in the rolling gap. The method presented here consists in mixing several well known techniques to utilize all available information for weighted gauge prediction. Multiple use of recursive parameter estimation together with consistent handling of transport delays are essential for a working solution.