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Research on Temperature Difference Control Strategy for Displacement Cooking Pot
Received:December 14, 2023  
DOI：10.11980/j.issn.0254-508X.2024.06.021
Key Words:papermaking  pulp  cooking system  control strategy  particle swarm optimization
Fund Project:中国高校产学研创新基金——阿依瓦科技创新教育专项（2023AY073）；中国职业技术教育学会2023年度分支机构科研课题（ZJ2023B031）；湖北省中华职业教育社2023年度课题研究项目（HBZJ2023194）；广东省普通高校青年创新人才类项目（2023KQNCX163）。
Author NameAffiliationPostcode
XU Kai Wuhan Institute of Shipbuilding Technology， Wuhan， Hubei Province， 430050 430050
SHI Quanhao* Zhangjiakou Vocational and Technical College， Zhangjiakou， Hebei Province， 075131 075131
LI Chao Guangdong Mechanical & Electronical College of Technology， Guangzhou， Guangdong Province， 510550 510550
SUN Fuming Mudanjiang Hengfeng Paper Co.， Ltd.， Mudanjiang， Heilongjiang Province， 157013 157013
OU Zhenhua Guangdong Mechanical & Electronical College of Technology， Guangzhou， Guangdong Province， 510550 510550
HUANG Dezhi Guangdong Mechanical & Electronical College of Technology， Guangzhou， Guangdong Province， 510550 510550
CHEN Si Wuhan Institute of Shipbuilding Technology， Wuhan， Hubei Province， 430050 430050
CHEN Yijian Guangdong Mechanical & Electronical College of Technology， Guangzhou， Guangdong Province， 510550 510550
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Abstract:In order to improve the control accuracy and robustness of the displacement cooking system in the pulp process under disturbance and model mismatch conditions， this paper theoretically modeled and studied the temperature difference control model of the displacement cooking system， and proposed a temperature difference adaptive PID control method for the displacement cooking system based on fuzzy control algorithm and particle swarm optimization （PSO） algorithm. Firstly， particle swarm optimization algorithm was used to optimize the initial values of PID controller parameters， and then fuzzy algorithm was used to achieve PID parameter self-tuning. Finally， the control effect was compared with traditional PID controllers and fuzzy PID controllers. The results showed that under a single operating condition， the comprehensive performance of the PSO fuzzy PID controller was the best， with the shortest adjustment time， effectively maintaining consistency in the temperature of the medicine solution in the vertical cooking pot. For pressure step disturbance and model mismatch conditions， the PSO fuzzy PID controller had stronger anti-interference performance， lower overall overshoot， shorter adjustment time， and good robustness and adaptability.
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