基于模糊评判规则的冷轧带钢智能板形评价模型

Intelligent Model for Evaluating Cold Rolled Strip Shape Based on Fuzzy Evaluation Rule

针对板形评价指标单一的问题,基于模糊综合评判规则,建立了冷轧带钢的在线板形智能评价模型。首先,利用勒让德多项式的最小二乘法实时识别和统计在线带钢的宏观板形信息及1、2、3、4次板形分量,然后在传统板形分档定级方法的基础上,建立板形模糊评判规则,并对某1 050 mm六辊冷轧机在线带钢的板形信息进行了综合评价。在线板形的综合评价结果可为板形闭环控制模型提供重要的定量板形信息,有利于提高板形调控效果和指导轧制工艺。

Aiming at the problem of too few indexes for evaluating strip shape, based on the rule of fuzzy comprehensive evaluation, the intelligent shape evaluation model used online for cold rolled strip was established. First of all, the least square method of Legendre polynomials was used to recognize and record the information of macroscopic flatness and the primary flatness, secondary flatness, tertiary flatness, and quartus flatness in real time. Then, based on the traditional shape grading method, the rule of flatness fuzzy evaluation was established, and the online shape information of a 1 050 mm six- high cold rolling mill was comprehensively evaluated. The result of online shape comprehensive evaluation can provide important quantitative shape information for the closed loop shape control model and improve shape control effect and direct rolling process.