摘要
针对传统打浆装置存在变量控制效果不佳导致打浆品质不高的问题,提出一种基于改进模拟退火的串联打浆装置智能控制优化方法。首先,确定串联打浆过程工艺流程,以流量、浓度和盘磨电流作为决策变量,以品质、产量和成本为优化指标,构建多目标优化模型,然后通过IMSA算法对多目标优化模型进行优化求解,最终得到基于IMSA的串联打浆装置智能控制优化策略。仿真结果表明,相较于改进前的SA算法,IMSA算法在迭代至47次时即可实现收敛,基于本控制策略的串联打浆装置的打浆品质和产量明显提高,产量提升了2.68t/h^(-1),成本降低了21.71元/t^(-1),且应用到串联打浆装置控制系统发现,其打浆度的实际误差均保持在±0.8°范围内。由此证明,采用本控制策略可提升串联打浆装置的变量控制效果,显著提升打浆质量,降低生产成本,满足智能控制优化需求。
In view of the problem of poor variable control effect and low grouting quality of the traditional grouting device,an intelligent control optimization method of series grouting device based on improved simulated annealing is proposed.First,determine the process flow of series grouting process,using flow,concentration and plate grinding current as decision variables,and quality,yield and cost as optimization indexes;optimize the multi-objective optimization model and obtain the intelligent control optimization strategy of series grouting device based on IMSA.Simulation results show that,compared with the improved SA algorithm,IMSA algorithm can be realized in iteration to 47 convergence,based on the quality and output of the series grouting device,the output increased by 2.68t/h^(-1),cost reduced 21.71 yuan/t^(-1),and applied to the series grouting device control system found that the actual error of the pulp remain within±0.8.This proves that the control strategy can improve the variable control effect of the series grouting device,make the grouting quality and quality significantly improved,reduce the production cost,meet the requirements of intelligent control optimization.
作者
姜国聚
陈广娟
JIANG Guoju;CHEN Guangjuan(School of Department of Intelligent Manufacturing,Yantai Vocational College,Yantai 264670,China)
出处
《造纸科学与技术》
2025年第10期90-93,共4页
Paper Science And Technology
基金
烟台市社会科学规划研究项目(2025-FZJY-017)。
关键词
模拟退火算法
串联打浆装置
智能控制
免疫机制
多目标优化
simulated annealing algorithm
series grouting device
intelligent control
immune mechanism
multi-objective optimization
