基于出口水分预测模型的松散回潮加水量控制算法  

Control Algorithm Based on Outlet Moisture Content Prediction Model for Loosening-conditioning Process

作　　者：杨明权 周晓龙 高宇雷 杨耀晶 秦鹏 韩金江 YANG Ming-quan;ZHOU Xiao-long;GAO Yu-lei;YANG Yao-jing;QIN Peng;HAN Jin-jiang(China Tobacco Yunnan Industiral Co.,Ltd.,Kunming 650000 China;Hongta Tobacco(Group)Co.,Ltd.,Yuxi Cigarette Factory,Yuxi 653100 China;Hongta Tobacco(Group)Co.,Ltd.,Yuxi 653100 China)

机构地区：[1]云南中烟工业有限责任公司,云南昆明650000 [2]红塔烟草(集团)有限责任公司玉溪卷烟厂,云南玉溪653100 [3]红塔烟草(集团)有限责任公司,云南玉溪653100

出　　处：《自动化技术与应用》2024年第7期17-21,88,共6页Techniques of Automation and Applications

基　　金：云南省重点科技项目(2021XX04)。

摘　　要：为解决松散回潮出口物料水分波动大、难以控制等问题,提出一种基于出口水分预测模型的加水量控制算法。预测模型可以较好地描述加水量及入口物料水分变化对于出口水分的影响,而基于模型的预测控制可以明显改善纯反馈控制下的滞后现象。基于中试线构建自动控制程序并进行试验,结果表明:在采用该算法编写的自动控制程序的控制下的批次,含水率标准偏差下降到0.2以下,相比过去得到了明显的提高。该算法有较大的推广潜力,可为解决烟草制丝过程中的各种延时、滞后问题提供可靠方案。To better control the severely oscillating outlet moisture content of the loosening-conditioning process,an algorithm for water addition based on the outlet moisture content prediction model is proposed in this study.The model shows satisfactory accuracy in predicting how the outlet moisture content is affected by the inlet moisture content and water addition,and the proposed model-based control algorithm can significantly improve the lagging phenomenon that happened in the traditional pure feedback-controlled batches.An automatic control program is built for a pilot line based on the proposed algorithm,and several tests using the raw material of mainstream brands are conducted in the line.The results show that the average standard deviation of the outlet moisture content is reduced to lower than 0.2 for batches controlled by the proposed algorithm,which is a considerable advancement compared with the past.The proposed algorithm can be easily generalized to other scenarios and can become potential solutions to various problems with delay and lagging in primary tobacco processing.

关 键 词：制丝工序 松散回潮 机理建模 模型辨识 预测 控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]