• DocumentCode
    175512
  • Title

    Ammonia control of a wastewater treatment process using model predictive control

  • Author

    Xiaoxin Liu ; Yuanwei Jing ; Jiahe Xu ; Siying Zhang

  • Author_Institution
    Coll. of Inf. Sci. & Eng, Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    494
  • Lastpage
    498
  • Abstract
    Activated sludge wastewater treatment processes are difficult to be controlled because of their complex and nonlinear behaviour. However, the control of the ammonia concentration is very important to achieve the effluent standard. In this paper, the ammonia model is developed which could be used for model predictive control (MPC) of ammonia concentration to a certain value in a wastewater treatment plant. The control strategy is investigated and evaluated based on the simulation benchmark-the ammonia concentration is controlled to maintain at different set-point ammonia concentration in an activated sludge process using MPC. The effect of parameters such as the predictive horizon, the control horizon, the weights of input and the sample time are also investigated. The simulation results show that MPC can be effectively used for ammonia control in wastewater treatment plants.
  • Keywords
    ammonia; industrial plants; large-scale systems; nonlinear control systems; predictive control; process control; sludge treatment; wastewater treatment; MPC; activated sludge wastewater treatment processes; complex behaviour; control horizon; model predictive control; nonlinear behaviour; predictive horizon; sample time; set-point ammonia concentration; weights-of-input; Decision support systems; PD control; Predictive control; ASM1; Activated sludge process; Ammonia control; BSM1 benchmark; Model predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852199
  • Filename
    6852199