• DocumentCode
    1753059
  • Title

    On-line Identification of Electro-Conductivity in Electrolytic Solutions

  • Author

    Inoue, Akira ; Deng, Meixia ; Harada, Tatsuya ; Baba, Yuya ; Morioka, N. ; Mutou, A. ; Ueki, N.

  • Author_Institution
    Dept. of Syst. Eng., Okayama Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    4786
  • Lastpage
    4789
  • Abstract
    An on-line method is proposed to identify electro-conductivity in electrolytic solutions. The method uses a model of a cell of electrolytic solutions in a micro reactor modeled by an electronic circuit. The circuit consists of a cell part with a resister and a capacitor connected in series and a measurement part having a resister. Then the resistance and the capacitance of the cell part are identified to calculate the electro-conductivity. The identification scheme is the least-square method with a forgetting factor calculated on-line. To avoid the effect of differentiation of measured signals, a filter is added to the identification method. The effectiveness of the proposed control scheme is shown by numerical simulation
  • Keywords
    capacitance; electric resistance; electrical conductivity; electrolytes; least squares approximations; parameter estimation; electrolytic solution electroconductivity; electronic circuit; forgetting factor; least-square method; microreactor model; on-line identification; parameter identification; Calibration; Capacitance; Circuit testing; Conductivity measurement; Current measurement; Electric resistance; Electric variables measurement; Electrical resistance measurement; Electronic circuits; Pollution measurement; Conductivity; Electrolytic solutions; Parameter identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713292
  • Filename
    1713292