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Weighted Adaptive Generalized Predictive Control for Carding Autoleveler
作者姓名:蔡旺  李加文  张贵宝  李从心
作者单位:National Die & Mould CAD Eng. Research Center Shanghai Jiaotong Univ.,National Die & Mould CAD Eng. Research Center,Shanghai Jiaotong Univ.,National Die & Mould CAD Eng. Research Center,Shanghai Jiaotong Univ.,National Die & Mould CAD Eng. Research Center,Shanghai Jiaotong Univ.,Shanghai 200030 China,Shanghai 200030 China,Shanghai 200030 China,Shanghai 200030 China
基金项目:National Innovation Foundation ResearchProgram of Small-Medium Sized Enterprise(No.03C26113200125)
摘    要:In textile industry, carding process has decisive influence on produced yarn quality. From the system theoretic point of view, it is marked by stochastic disturbance, long delays, and parameter variation. So, a carding process is difficult to control with traditional control algorithms (such as PID). In this paper, a weighted adaptive generalized predictive control (GPC) law was developed to control such a process. The experimental results show that GPC autoleveller controller could greatly reduce the sliver‘s standard deviation and reject disturbance.


Weighted Adaptive Generalized Predictive Control for Carding Autoleveler
CAI Wang,LI Jia-wen,ZHANG Gui-bao,LI Cong-xin.Weighted Adaptive Generalized Predictive Control for Carding Autoleveler[J].Journal of Shanghai Jiaotong university,2006,11(4).
Authors:CAI Wang  LI Jia-wen  ZHANG Gui-bao  LI Cong-xin
Abstract:In textile industry, carding process has decisive influence on produced yarn quality. From the system theoretic point of view, it is marked by stochastic disturbance, long delays, and parameter variation. So, a carding process is difficult to control with traditional control algorithms (such as PID). In this paper, a weighted adaptive generalized predictive control (GPC) law was developed to control such a process. The experimental results show that GPC autoleveller controller could greatly reduce the sliver's standard deviation and reject disturbance.
Keywords:carding machine generalized predictive control(GPC) autoleveler
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