基于趋势预测和分区反馈的梗丝气流干燥出口含水率精准控制策略

Precision control strategy of outlet moisture content in tobacco cut stem airflow drying based on trend prediction and partition feedback

针对梗丝气流干燥出口含水率稳定性不足的问题,在原有PID控制模型基础上,设计了趋势预测调整控制与分区反馈调整控制相结合的整合控制模型。该模型将出口含水率的实际值与设定值的偏差分为多个不同的区间,根据偏差所处的区间及在区间内变化趋势的分析结果确定实时调控策略,同时根据来料含水率的变化趋势预测出口含水率的变化并采取修正措施。实际应用结果表明,梗丝气流干燥出口含水率标准偏差降低了27.9%、短期过程能力指数提高了45.4%,该控制模型可有效提高梗丝气流干燥出口含水率的稳定性。

Aiming at the problem of insufficient stability of outlet moisture content in tobacco cut stem airflow drying,an integrated model combining trend prediction adjustment control and zoning feedback adjustment control was designed based on the original PID control model.The gap between the actual value and the set value of outlet moisture content was divided into several different intervals in this model,and a real-time control strategy was determined by the interval of gap lied in and the change trend in the interval.At the same time,according to the change trend of inlet moisture content,the change of outlet moisture content was predicted and necessary adjustments were taken.The practical application research results showed that the standard deviation of outlet moisture content in tobacco cut stem airflow drying was reduced by 27.9%after applying the integrated control model,CPK increased by 45.4%.The integrated control model could effectively improve the stability of outlet moisture content in tobacco cut stem airflow drying.