摘要
研究烟纸增强剂浓度控制问题,以提高烟纸增强剂配制精度。增强剂浓度受进水流量、粉料给料速度、外界干扰等诸多因素影响,配制过程具有典型的非线性、多变量、强耦合特性,传统控制方法效果不佳。为提高烟纸纸浆质量,设计增强剂线性自抗扰控制器(ADRC)模型,以实现主动抵抗干扰、提高增强剂浓度控制效果的目的。通过三组仿真试验,分别模拟自抗扰控制器对浓度跟踪、干扰下浓度跟踪。与传统比例积分微分(PID)控制比较发现,线性自抗扰控制器能够有效估计和补偿各种不确定因素。仿真结果表明,线性自抗扰控制器抗干扰性能良好。同时,结合增强剂制备工艺,设计了可编程逻辑控制器(PLC)和人机交互软件,实现增强剂配制过程各工艺参数监控,为增强剂配制过程中浓度控制提供了一种切实可行的解决方案。
Aimed at the improvement of the preparation accuracy of tobacco paper reinforcing agent,the concentration control of tobacco paper reinforcing agent was considered.The concentration of reinforcing agent is affected by many factors,such as influent flow,powder feeding speed,external interference and so on.The compounding process has typical nonlinear,multivariable,strong coupling characteristics,and theactive disturbance rejection control(ADRC)method has poor effect.In order to improve the quality of tobacco paper pulp,the linear auto disturbance rejection controller model of enhancer was designed to achieve the purpose of active disturbance resistance and improve the control effect of enhancer concentration.Through three groups of simulation experiments,simulation of ADRC to concentration tracking,concentration tracking under disturbance and comparison with traditional proportional integral differential(PID) control,the linear ADRC is capable of estimating and compensating well.The simulation results show that the linear ADRC has good anti- interference performance.At the same time,the programmable logic controller(PLC) control system and human- computer interaction software are designed to realize the monitoring of each process parameter in the preparation process of reinforcing agent,which provides a practical approach for the concentration control in the preparation process of reinforcing agent.
作者
台广锋
姜长辉
卢毅
陈雁南
TAI Guangfeng;JIANG Changhui;LU Yi;CHEN Yannan(BGRIMM Technology Group Co.,Ltd.,Beijing 100160,China)
出处
《自动化仪表》
CAS
2020年第7期107-110,共4页
Process Automation Instrumentation
基金
2019年中关村开发试验室重点支持基金资助项目(KYZGC20192021)。
关键词
烟纸
抗扰控制
PLC
配制
PID控制
浓度
Tobacco paper
Disturbance rejection control
Programmable logic controller(PLC)
Preparation
Proportional integral differential(PID)control
Concentration