An intelligent PID control model of shredded tobacco blending based on fuzzy neural network
LIU Sui-jun
YANG Lin-chao
ZHANG Ping
QIU Zong-he
Abstract：To optimize the PID control of tobacco primary processing and increase the instantaneous preci-sion of shredded tobacco blending,an intelligent PID control model FNN-PID based on fuzzy neural network was proposed.The intelligent fuzzy quantization was conducted according to the demand of shredded tobac-co blending ratio and production dynamic data.By comparing the expert knowledge base,and combining with the analysis of intelligent reasoning machine,the ratio adjustment parameter of shredded tobacco blending was decided to take part in the feedback PID control.The practical application results showed that by using this model to control the relative parameters,the instantaneous accuracy was improved signifi-cantly,and the system fluctuation was reduced,and consequently the processing requirements of high grade cigarette could be met.
Keywords：instantaneous accuracy of shredded tobacco blendingfuzzy neural networkPID control
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 39-43 )