DocumentCode :
2846082
Title :
Application of neural network decoupler in air-cushioned headbox control system
Author :
Xiao, Zhongjun
Author_Institution :
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´´an, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
2738
Lastpage :
2742
Abstract :
The headbox is the key hinge to link the pulp supply system with the sheet forming in the papermaking process. The primary parameters include the total pressure and the stock level which couple each other in the box, and they decide the distribution of the web cross-directional basis weight and influence the paper forming quality. Here taking widely used air-cushion type headbox as the plant, a new neural network (NN) decoupling control system is proposed to overcome the coupling relation between the total pressure and the stock level, decrease the adjusting time as well as to achieve robustness, fault-tolerance and the self-study ability in different environments. The practice has proved that the headbox control system based on NN decoupling algorithm could satisfy the industrial control requirements in the papermaking process well.
Keywords :
forming processes; neurocontrollers; paper making; paper pulp; air-cushioned headbox control system; fault-tolerance; industrial control requirements; neural network decoupling control system; paper forming quality; papermaking process; pulp supply system; self-study ability; sheet forming; web cross-directional basis weight; Automatic control; Control systems; Educational institutions; Moisture control; Neural networks; Nonlinear control systems; Pressure control; Process control; Valves; Velocity control; Air-cushioned headbox; Decoupling control; Neural network (NN); Papermaking process;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/CCDC.2010.5498721
Filename :
5498721
Link To Document :
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