DocumentCode :
3259782
Title :
The application of GPC and its parallel implementation for cross-directional basis weight profile control in paper machines
Author :
Song, Zhihuan ; Li, Ping ; Sun, Youxian ; Wang, Hui
Author_Institution :
Inst. of Ind. Process Control, Zhejiang Univ., Hangzhou, China
fYear :
1996
fDate :
2-6 Dec 1996
Firstpage :
222
Lastpage :
226
Abstract :
This paper applies the multivariate generalized predictive control (GPC) strategy and its parallel algorithm for the cross-directional (CD) basis weight profile in paper making processes. The coordinative control of multiple actuators is realized. The CARIMAX model, which represents the CD weight profile response to the slice lip position settings, has been established. According to the model structure, the system is decomposed into several sub-systems. The GPC algorithm is distributed in every sub-system and the parallel control algorithm is obtained. It is proposed that this parallel control algorithm is to be implemented in a multiprocessor system. Computer simulation results indicate that the control strategy is effective and practical
Keywords :
autoregressive moving average processes; multivariable control systems; paper industry; parallel algorithms; predictive control; process control; real-time systems; weight control; CARIMAX model; cross-directional basis weight profile; generalized predictive control; multiprocessor system; multivariate GPC; paper machines; parallel algorithm; parallel control; Actuators; Computer simulation; Control systems; Delay; Error correction; Noise measurement; Paper making machines; Process control; Production; Weight control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-3104-4
Type :
conf
DOI :
10.1109/ICIT.1996.601577
Filename :
601577
Link To Document :
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