Nonlinear generalized predictive control in a thermal process for batch dyeing

Jianxin Zhang; Benyong Chen; Tingxiu Zhong

doi:10.1117/12.521931

2 September 2003 Nonlinear generalized predictive control in a thermal process for batch dyeing

Jianxin Zhang, Benyong Chen, Tingxiu Zhong

Proceedings Volume 5253, Fifth International Symposium on Instrumentation and Control Technology; (2003) https://doi.org/10.1117/12.521931
Event: Fifth International Symposium on Instrumentation and Control Technology, 2003, Beijing, China

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.

Citation Download Citation

Jianxin Zhang, Benyong Chen, and Tingxiu Zhong "Nonlinear generalized predictive control in a thermal process for batch dyeing", Proc. SPIE 5253, Fifth International Symposium on Instrumentation and Control Technology, (2 September 2003); https://doi.org/10.1117/12.521931

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