• DocumentCode
    569758
  • Title

    Automation of chlorination process for drinking water treatment plant: Control strategies

  • Author

    Gámiz, Javier ; Bolea, Yolanda ; Grau, Antoni ; Gámiz, Juan ; Luque, Francisco ; Vargas, Juan Miguel

  • Author_Institution
    Autom. Control Dept., Tech. Univ. of Catalonia, Barcelona, Spain
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    337
  • Lastpage
    341
  • Abstract
    The technological advances of industrial communications in the last decade allowed automatically to control processes that were manually controlled in a separate way. This paper presents the design and implementation for a novel automated chlorination system at the drinking water treatment plant in Sant Joan Despí (Barcelona, Spain). The automation of chlorination process meant two important challenges: firstly, the impact of dead time inherent to the measurement of process´ variable of the water and its dosage has been minimized; and second, the system has been provided with the capacity of adaptation to the variability in the water quality and to the appearance of the ammonium in the treated water. The obtained results in this real process by the combination of a feedforward control strategy together with a classical feedback scheme have been largely satisfactory. The establishment of this new control system has represented a significant change in the working model.
  • Keywords
    feedback; feedforward; water quality; water treatment; automated chlorination system; automation; chlorination process; classical feedback scheme; control strategies; drinking water treatment plant; feedforward control strategy; industrial communications; water quality; Automation; Carbon; Delay; Feedforward neural networks; Process control; Switches; Drinking water treatment plant; chlorination process; chlorine dosage; feedforward control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-0312-5
  • Type

    conf

  • DOI
    10.1109/INDIN.2012.6301355
  • Filename
    6301355