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PSO-based Parameter Tuning for a Two-Degree-of-Freedom IMC Scheme and Its Application to Paper Basis Weight Control
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Author NameAffiliation
Wei Tang College of Electrical and Information Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021, China 
Zhimin Yuan Beijing Zhongkexin Electronics Equipment Co., Ltd, Beijng, 100111, China 
Wenjuan Shan College of Light Industry Science and Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021, China 
Md. Muhie Menul Haque College of Electrical and Information Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province, 710021, China 
Fund Project:This work was partially supported by the Shaanxi Key Innovation Team Project of Science and Technology (2014KCT-15) and the Shaanxi Science & Technology Co-ordination & Innovation Project (2016KTCQ01-35).
 
Abstract: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.
keywords:basis weight control system  large time delay  IMC  two-degree-of freedom control  PSO algorithm
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