连续酸洗过程控制数学模型开发与应用

Development and application of mathematical model for process control in continuous pickling line

为了提高连续酸洗过程的稳定性和生产节奏,保证良好的酸洗表面质量,进行了酸洗功能模块及酸洗过程控制数学模型的研究与开发。基于统计学原理并利用Origin软件进行回归拟合,建立了酸洗过程实用的自由酸浓度模型、Fe^(2+)浓度模型和总酸浓度模型,有效提高了酸浓度的控制精度。同时,采用模糊控制和常规PID控制相结合的复合方法进行酸液温度控制,消除了温度控制过程的震荡和超调现象,大大提高了酸洗过程温度控制精度。实践证明,开发的酸洗过程控制数学模型计算精度高、可靠性强,完全满足多钢种、变规格条件下的汽车用高强钢生产对连续酸洗过程工艺控制的需求,适合于工业生产实践。

Functional modules of pickling and mathematical models for process control of continuous pickling line were studied in order to increase stability and pace of production for continuous pickling,together with good surface quality after pickling. According to the principle of statistics,mathematical models of free acid concentration,Fe^2＋ concentration,and total acid concentration were established with fitting and regression analytical method,and then the control accuracy of acid concentration has been effectively improved. Meanwhile,the combined method between fuzzy control and conventional PID control was adopted to control the acid temperature,which eliminated the oscillation and overshoot during the control process of the acid temperature,and so the control accuracy of acid temperature control was greatly increased. The application results showed that the developed mathematical models for process control of continuous pickling line had high computational accuracy and high reliability,and could completely satisfy the requirement of process control of pickling for the production of high strength steels for automobiles,and was suitable for practical production.