【摘 要】
：
In textile industry, carding process has decisive influence on produced y quality. From the system theoretic point of view, it is marked by stochastic disturban
【机 构】
：
National Die & Mould CAD Eng. Research Center,Shanghai Jiaotong Univ.,Shanghai 200030,China
【基金项目】
：
National Innovation Foundation Research Program of Small-Medium Sized Enterprise
论文部分内容阅读
In textile industry, carding process has decisive influence on produced y 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.
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