Weighted Adaptive Generalized Predictive Control for Carding Autoleveler  

作　　者：蔡旺 李加文 张贵宝 李从心 

机构地区：[1]National Die & Mould CAD Eng. Research Center,Shanghai Jiaotong Univ.

出　　处：《Journal of Shanghai Jiaotong university(Science)》2006年第4期436-439,共4页上海交通大学学报（英文版）

基　　金：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.In textile industry, carding process has decisive influence on produced yarnquality. From the system theoretic point of view, it is marked by stochastic disturbance, longdelays, and parameter variation. So, a carding process is difficult to control with traditionalcontrol 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 GPCautoleveller controller could greatly reduce the sliver's standard deviation and reject disturbance.

关 键 词：CARDING MACHINE GENERALIZED PREDICTIVE control(GPC) autoleveler 

分 类 号：TP103-1[自动化与计算机技术—控制理论与控制工程]