纸浆浓度自动化控制系统设计  

Design of pulp consistency automatic control system

作　　者：林晨 LIN Chen(Jinshan College,Fujian Agriculture and Forestry University,Fuzhou 350026,China)

机构地区：[1]福建农林大学金山学院,福建福州350026

出　　处：《粘接》2022年第3期135-138,148,共5页Adhesion

摘　　要：研究在传统PID控制系统上提出一种改进SAA的优化算法对参数进行优化,并设计了基于改进SAA算法的纸浆浓度自动化控制系统。根据纸浆浓度自动化控制系统功能需求,对系统整体架构进行设计,并构建了纸浆浓度模型;针对传统PID无法在线调整参数的问题,设计了基于改进SAA算法的参数优化控制器;通过仿真实验对研究提出的算法和系统进行了验证。结果表明:提出的基于改进SAA算法相较于标准SAA算法,具有更好的寻优能力,表现出更好的稳定性与收敛性,且搜索效率更高;相较于传统PID和SAA-PID控制系统,产量提高0.65 t/h,成本下降4.37元/t,可用于实际纸浆浓度自动化控制。Aiming at the problems of the traditional PID based pulp concentration control system,an improved SAA optimization algorithm is proposed to optimize the parameters.According to the functional requirements of the pulp concentration automatic control system,the overall architecture of the system is designed,and the pulp concentration model is constructed.Aiming at the problem that the traditional PID cannot adjust the parameters online,a parameter optimization controller based on the improved SAA algorithm is designed.Finally,the algorithm and system proposed in this study are verified by simulation experiments.The results show that,compared with the standard SAA algorithm,the improved SAA algorithm has better optimization ability,better stability and convergence,and higher search efficiency;compared with the traditional PID and SAA-PID control system,the output is increased by about 0.65 t/h while the cost is lower by 4.37 yuan/t,which can be used for automatic control of actual pulp concentration and has certain economic benefits.

关 键 词：纸浆浓度 自动化控制 参数优化 SAA算法 

分 类 号：TS736[轻工技术与工程—制浆造纸工程]