郑州轻工业学院学报（自然科学版）Issue(3)：39-43,5.DOI:10.3969/j.issn.2095-476X.2015.3/4.009
基于模糊神经网络的智能混丝掺配 PID 控制模型研究
An intelligent PID control model of shredded tobacco blending based on fuzzy neural network
刘穗君 1杨林超 1张萍 1邱宗鹤1
作者信息
- 1. 河南中烟工业有限责任公司 南阳卷烟厂，河南 南阳 473007
- 折叠
摘要
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.关键词
卷烟混丝掺配瞬时精度/模糊神经网络/PID 控制Key words
instantaneous accuracy of shredded tobacco blending/fuzzy neural network/PID control分类
轻工纺织引用本文复制引用
刘穗君,杨林超,张萍,邱宗鹤..基于模糊神经网络的智能混丝掺配 PID 控制模型研究[J].郑州轻工业学院学报（自然科学版）,2015,(3):39-43,5.
