Modeling and control of a web-fed machine

被引:28
作者
Chen, CL
Chang, KM
Chen, CACL
机构
[1] Natl Kaohsiung Univ Appl Sci, Dept Mech Engn, Kaohsiung 80708, Taiwan
[2] Natl Cheng Kung Univ, Inst Aeronaut & Astronaut, Tainan 70101, Taiwan
关键词
web-fed machine; sliding mode control; neural network; tension control;
D O I
10.1016/j.apm.2004.04.005
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper describes the mathematical modeling and control of the tension and the speed of moving web in a web-fed machine. In this paper the web control system is structured as a two-input and two-output system. To lessen the effects of system uncertainties, such as system parameters, unmodeled errors, and external disturbance uncertainties in the web control system, a sliding mode control (SMC) is proposed, with an estimator based on a recurrent neural network, which is applied to estimate system uncertainties. Some simulation results are presented to show that the proposed control scheme is feasible for a web-fed machine. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:863 / 876
页数:14
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