Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25286
Title: Applying a generalized predictive control theory to a carding autoleveler
Authors: Guo, Y
Chen, R
Hu, J 
Issue Date: 2003
Publisher: SAGE Publications
Source: Textile research journal, 2003, v. 73, no. 9, p. 755-761 How to cite?
Journal: Textile research journal 
Abstract: Usually, a carding process is difficult to control with classic control algorithms (such as PID) for three main reasons: strong stochastic disturbance, time delays, and parameter variation. In this paper, generalized predictive control (GPC) is introduced to control such a process. First, a CARIMA model is built to describe the carding process, then the GPC control law is derived and used to design the controller for a carding autoleveler. The simulation results show that the GPC controller can greatly reduce a sliver's standard deviation and can reject measured and unmeasured step disturbance. Although this paper mainly involves the design of a feedforward-feedback GPC controller for a carding autoleveler, the methods of modeling and GPC controller design can easily be extended to a feedback case and used to design controllers for other preparatory machines' autolevelers.
URI: http://hdl.handle.net/10397/25286
ISSN: 0040-5175
EISSN: 1746-7748
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