基于稳态误差的热连轧弹跳方程优化算法

Optimization Algorithm of Spring Equation in Tandem Hot Rolling Based on Static Errors

热连轧带钢生产过程中,在停轧、换辊后会出现带钢厚度精度低的情况,影响到带材的成材率.为解决此问题,提出了新的轧辊磨损和热膨胀模型,并引入模型稳态误差量的概念,对弹跳方程进行优化改进.现场实际应用效果表明:换辊后首块钢的厚度偏差在40μm范围内达到90%以上,长时间停轧之后厚度偏差提高到30μm以内,满足自动厚度控制系统(AGC)的控制要求,提高了产品的成材率.并给出了弹跳方程稳态误差的普遍求解方案,模型在线使用效果良好,适于工业推广.

In the hot strip steel continuous rolling process, when rolling suspended or roll changed, the thickness of the following strip steel was out of the precise control level which affected the yield of the strip. To solve the problem, the roll wear model and thermal expansion model were proposed, and the steady state error was put into the models to improve the spring equation. Practical application results showed that the first piece strip steel of the thickness deviation within 40 txm range after changing rolls was up to 90% , and the thickness accuracy reached within 30 μm under different rolling intervals, which met the requirement of the automatic gauge control system and improve the product yield. The generic solution of the steady state error in the spring equation was provided. The proposed model was on-line used properly for a long time, and it was suitable for the industrial production.