热连轧宽度自适应模型优化

为提高热连轧粗轧宽度控制精度,提出了一种宽展模型参数自适应方法.该方法将宽展模型中自然宽展系数和狗骨宽展系数作为待优化参数向量,以此为基础对自适应目标函数进行构建,并使用Nelder-Mead算法进行目标函数的最优化求解,得到了满足条件的最优化参数向量,进而完成了宽展系数的优化,提高了轧件的宽度控制精度.本方法已应用于某850 mm热轧粗轧控制系统中,并与传统自适应模型精度进行比较,采用所提出的参数自适应方法后,宽度模型预测值与实测值的偏差由3.05 mm降至1.28 mm,有效地提高了宽度质量.

Optimization of the Width Adaption Model in Hot Tandem Rolling

In order to improve the width control precision in rough rolling process， an adaption method for optimizing parameters of the width spread model was proposed. The natural width spread coefficient and the dog-bone width spread coefficient in the width model were taken as the adaption parameter vectors， and the width adaption model objective function was founded based on the vectors. The Nelder-Mead method was used to search the optimal solution of the objective function， and the optimized parameters vectors were obtained which fulfilled the model precision of the width control process. The results showed that the adaptive method is successfully applied to the control system of one 850mm hot tandem mill. Compared with the traditional method， the width deviation between the actual measured ones and the predicted ones is reduced from 3.05mm to 1.28mm with the proposed method. The validity and precision of the proposed adaption model are verified， and the width quality is enhanced greatly.