Weighted adaptive generalized predictive control for carding autoleveler

被引：0

作者：

Cai, Wang ^{[1
]}

Li, Jia-Wen ^{[1
]}

Zhang, Gui-Bao ^{[1
]}

Li, Cong-Xin ^{[1
]}

机构：

[1] National Die and Mould CAD Eng. Research Center, Shanghai Jiaotong Univ., Shanghai 200030, China

来源：

Journal of Shanghai Jiaotong University (Science) | 2006年 / 11 E卷 / 04期

关键词：

Control equipment - Mathematical models - Textile industry - Yarn;

D O I：

暂无

中图分类号：

学科分类号：

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.

引用

页码：436 / 439

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