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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。
In order to improve the stability and production rhythm of the continuous pickling process and ensure the good pickling surface quality, the research and development of pickling function module and pickling process control mathematical model were carried out. The free acid concentration model, Fe 2+ concentration model and total acid concentration model of pickling process were established based on the statistical principle and the Origin software was used for regression fitting to effectively improve the control accuracy of acid concentration. At the same time, the fuzzy control and conventional PID control combined with the composite method of acid temperature control, eliminating the temperature control process of the shock and overshoot, greatly improving the pickling process temperature control accuracy. Practice has proved that the developed mathematical model of pickling process control with high accuracy and reliability, fully meet the multi-steel, variable-size automotive high strength steel production process control for continuous pickling process requirements, suitable for industrial production practices .