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Adaptive PID Control of Paper Basis Weight and Moisture Based on Fuzzy Logic
Received:December 10, 2021  
DOI：10.11980/j.issn.0254-508X.2022.04.012
Key Words:paper  PID  fuzzy logic  PLC  simulation
Fund Project:浙江省重点研发计划（2020C02021）。
Author NameAffiliationPostcode
JIA Xinwei Pulp and Paper-making Center， College of Textiles Science and Engineering， Zhejiang Sci-Tech University， Hangzhou， Zhejiang Province，310018 310018
TANG Yanjun* Pulp and Paper-making Center， College of Textiles Science and Engineering， Zhejiang Sci-Tech University， Hangzhou， Zhejiang Province，310018 310018
CHENG Yimin Zhejiang Xinfeng Special Paper Industry Co.， Ltd.， Quzhou， Zhejiang Province，324022 324022
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Abstract:Aiming at the non-linearity， time-varying， and strong coupling characteristics of the basis weight and moisture during the paper-making process， an adaptive control method based on fuzzy logic was proposed. The fuzzy control theory was used to build a model to realize system decoupling and adaptive control. The QCS quality control system model of quantitative moisture process was constructed， and the simulation research was carried out for the basis weight and moisture control system of the paper machine. The simulation results showed that the scheme could solve the coupling of basis weight and moisture system. Compared with PID control， the unit step response curve adjustment time of basis weight loop and moisture were reduced by 53.6% and 56.4%， respectively. Compared with fuzzy control， the adjustment time reduced by 17.0% and 29.2%， respectively. The scheme could perform sub-organization and self-adaptive control of the system， reduce labor cost and improve system accuracy.
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