• DocumentCode
    701983
  • Title

    On utilising structural information for adaptive control of a PH neutralisation process

  • Author

    Tan, Woei Wan ; Lo, Chang How

  • Author_Institution
    Department of Electrical and Computer Engineering, National University of Singapore, 4, Engineering Drive 3, Singapore 117576
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    1069
  • Lastpage
    1074
  • Abstract
    Control of the pH level is of vital importance in many industrial applications. However, pH control has only met with limited success. A stumbling block is the severe non-linearity of titration processes. One control strategy that have been employed to overcome the process non-linearity exploits the knowledge that certain pH processes can be casted in the Wiener model structure. In practice, it is very likely that the process characteristics will be affected by the presence of unknown buffers. This paper aims at examining whether there are merits in using structural information to design the architecture of adaptive controllers in situations where the knowledge may be inaccurate due to changing buffering conditions. The main finding of this work is that a “black box” controller is better able to adapt to the changing dynamics caused by the introduction of an unknown buffer.
  • Keywords
    Adaptation models; Adaptive control; Chemical reactors; Feedforward neural networks; Mathematical model; Process control; Training; adaptive neurofuzzy control; pH process; wiener model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7085101