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Proceedings Paper

Nonlinear generalized predictive control in a thermal process for batch dyeing
Author(s): Jianxin Zhang; Benyong Chen; Tingxiu Zhong
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Paper Abstract

Dyeing process is a serious nonlinear process, and can't be accurately controlled by traditional linear control algorithms. Generalized Predictive Control (GPC) based on linear model has good performance and strong robust, thus can be used to tacking the control problems with delay and unmodelled errors such as a thermal process for batch dyeing. In order to apply the good linear GPC to the nonlinear batch dyeing process, we introduce a Nonlinear Generalized Predictive Control (NLGPC) based on the Hammerstein model. The simulation results are given and it is concluded that the NLGPC control gives much better performance than the linear GPC.

Paper Details

Date Published: 2 September 2003
PDF: 5 pages
Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); doi: 10.1117/12.521931
Show Author Affiliations
Jianxin Zhang, Shanghai Jiaotong Univ. (China)
Benyong Chen, Zhejiang Institute of Science and Technology (China)
Tingxiu Zhong, Shanghai Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 5253:
Fifth International Symposium on Instrumentation and Control Technology
Guangjun Zhang; Huijie Zhao; Zhongyu Wang, Editor(s)

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