Abstract: In order to improve the prediction precision of the rolling force model， a method for optimizing parameters of the rolling force model based on the objective function was put forward. Through establishing the model of rolling force parameter adaptive target function， the adaption coefficients of the deformation resistance and friction coefficient models were taken as the parameters to be optimized， and the NelderMead simplex algorithm was used to search the optimal solution of the objective function so that the adaptation coefficients were obtained which fulfilled the accuracy of the rolling force. The proposed parameter adaptation method of the rolling force modeling was applied to a 1700mm 5stand tandem cold mill. Application results showed that the mean square deviation between the calculated rolling force and measured one was reduced from 129% to 32% after using the proposed parameter adaptation method， which showed that the method proposed obviously improved the accuracy of the rolling force model and met the requirement of online process control.

Key words: tandem cold rolling, rolling force model, deformation resistance, friction coefficient, parameter adaptation