Title :
The study of decoupling control strategy for paper basis weight and moisture content
Author_Institution :
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
Abstract :
Aimed at the strong coupling between basis weight and moisture content in papermaking, this paper put forward a decoupling method based on neural network, which is realized by designing a computing network to offset coupling in the process, and makes generalized object´s transfer function matrix become diagonal. By decoupling control, we used slurry flow to control basis weight and steam flow to control moisture content successfully, and achieved good control effect. The actual operating results showed that this control algorithm can improve the profits of enterprises greatly and has some practical value.
Keywords :
matrix algebra; neurocontrollers; paper making; decoupling control strategy; generalized object transfer function matrix; moisture content; neural network; paper basis weight; papermaking; slurry flow; steam flow; weight flow; Computer networks; Control systems; MIMO; Mathematical model; Moisture control; Neural networks; Paper making machines; Power generation economics; Valves; Weight control; basis weight; decoupling control; moisture content; time-delay;
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5499051