• 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