论文摘要
Basis weight is an important indicator for evaluating paper quality and a major factor directly affecting the economic benefits of enterprises. Focusing on the large time-delay, time-varying, and nonlinear characteristics of a basis weight control system, a two-degree-of-freedom(TDF) internal model control(IMC) method based on a particle swarm optimization(PSO) algorithm was proposed. The method took the integral of time multiplied by the absolute error(ITAE) as the objective function, and the PSO algorithm was used to optimize the time constant of the tuning IMC filter. The simulation results for the control system under the proposed TDF-IMC method based on the PSO algorithm demonstrate good set-point tracking performance, strong anti-interference capabilities, and good robustness properties. The application results revealed that the basis weight fluctuation range of the paper was ±2 g/m2, which significantly improved both the control quality and the product quality.
论文目录
文章来源
类型: 期刊论文
作者: Wei Tang,Zhimin Yuan,Wenjuan Shan,Md.Muhie Menul Haque
来源: Paper and Biomaterials 2019年04期
年度: 2019
分类: 工程科技Ⅰ辑
专业: 有机化工,轻工业手工业
单位: College of Electrical and Information Engineering, Shaanxi University of Science & Technology,Beijing Zhongkexin Electronics Equipment Co., Ltd,College of Light Industry Science and Engineering, Shaanxi University of Science & Technology
基金: supported by the Shaanxi Key Innovation Team Project of Science and Technology (2014KCT-15),the Shaanxi Science & Technology Co-ordination & InnovationProject (2016KTCQ01-35)
分类号: TS75
页码: 57-63
总页数: 7
文件大小: 659K
下载量: 3
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