• DocumentCode
    723970
  • Title

    Online monitoring of glutamic solution concentration based on PLS regression

  • Author

    Li Qi ; Liu Wenya ; Ba Wei ; Liu Tao

  • Author_Institution
    Fac. of Electron. Inf. & Electr. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    754
  • Lastpage
    759
  • Abstract
    Online monitoring of glutamic solution concentration is very important to control the crystallization process. Using infrared spectrometer ReactIR 15, we can obtain the real-time spectral data. Based on the partial least squares regression method, we can establish the regression model between glutamic solution concentration and the real-time spectral data. Repeated calibration experiments based on this model show that the average error is 0.53, and the average relative error is 1.88%. The model has good prediction ability, and it realized online monitoring of glutamic solution concentration in crystallization process. This paper proposed a good reference frame for the online analysis of solution concentration in crystallization process.
  • Keywords
    calibration; chemical industry; crystallisation; infrared spectrometers; least squares approximations; real-time systems; regression analysis; PLS regression; ReactIR 15; calibration; crystallization process; glutamic solution concentration; infrared spectrometer; online monitoring; partial least squares regression method; real-time spectral data; Crystallization; Data models; Mathematical model; Predictive models; Real-time systems; Temperature control; Crystallization Process; Glutamic Solution Concentration; Partial Least Squares;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162020
  • Filename
    7162020