• DocumentCode
    420783
  • Title

    Active fault tolerant control using BP network application in the temperature control of 3-layer PE steel pipe producing

  • Author

    Wei, Li ; Wenzheng, Xu ; Jun, Wang

  • Author_Institution
    Lanzhou Univ. of Technol., China
  • Volume
    2
  • fYear
    2004
  • fDate
    15-19 June 2004
  • Firstpage
    1525
  • Abstract
    A three-layer polyethylene structure anticorrosive layer is also called as three-layer PE, is one of the most advanced anticorrosive techniques. The coated segment is the most import part in the process of producing three-layer PE. The steel pipe is heated by the intermediate frequency stove and its temperature is the key factor to keep the product´s high quality. In order to achieve this goal and improve the safety of the control system, control laws reconfiguration was used in the temperature control system as active fault tolerant control (AFTC) strategy. When the temperature sensor was completely out of action at the coated segment. The back propagation neural network is proposed as the FTC controller for the nonlinear and undetermined object of the steel pipes´ heating, then, it was simulated in MATLAB by the use of the data, which were gathered in one line of 3-layer PE product. The test result shows that the method is valid and reliable, and it can be use in temperature control systems of various anticorrosive steel pipe products´ lines.
  • Keywords
    backpropagation; control engineering computing; corrosion protective coatings; neural nets; steel manufacture; temperature control; active fault tolerant control strategy; anticorrosive techniques; back propagation neural network; coated segment; control laws reconfiguration; polyethylene structure anticorrosive layer; steel pipe; temperature control system; Control systems; Fault tolerance; Fault tolerant systems; Frequency; Neural networks; Polyethylene; Safety; Steel; Temperature control; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1340903
  • Filename
    1340903