• 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