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Coating Rate Control for Tobacco Sheet Production Based on Fuzzy-PID Controller
Received:April 09, 2020  
DOI:10.11980/j.issn.0254-508X.2020.07.009
Key Words:tobacco sheet  coating rate  dynamic control  Fuzzy-PID controller
Author NameAffiliationPostcode
XU Guoqi China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
LIU Liangcai China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
MAN Yi State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510641
LI Jun State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510641
FENG Yucheng State Key Lab of Pulp and Paper Engineering, South China University of Technology, Guangzhou, Guangdong Province, 510640 510641
CHEN Qianjin China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
WANG Li China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
HU Xin China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
WANG Shuiming China Tobacco Hubei Industrial Co., Ltd., Wuhan, Hubei Province, 430040
Hubei Xinye Reconstituted Tobacco Development Co., Ltd., Wuhan, Hubei Province, 430056 
430056
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Abstract:To ensure the stability of coating rate in the tobacco sheet production process, the Fuzzy control method was used to adjust the key parameters of the PID controller. The production data collected from a tobacco factory was used to simulate the tobacco sheet production process. The simulated coating rate data was used to verify the proposed controller. The results showed that the proposed Fuzzy-PID controller was more robust and accurate than the conventional PID controller.
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