• DocumentCode
    3686595
  • Title

    EPSAC for wastewater treatment process (BSM1)

  • Author

    Ruben Crisan;Ioan Nascu;Eveline Volcke;Robin De Keyser

  • Author_Institution
    Technical University of Cluj-Napoca, 28 Memorandumului Street, 400114, Romania
  • fYear
    2015
  • Firstpage
    403
  • Lastpage
    408
  • Abstract
    Predictive control is one of the most spread advanced control algorithms in industrial application field. Extended Prediction Self-Adaptive Control (EPSAC) is a part of this family of algorithms and is suitable for wastewater treatment plants control. The main goal of those industrial processes is to fulfil effluent water quality legal provisions with minimal energy consumption. In order to achieve this goal EPSAC control methodology has been applied to the wastewater treatment process. Benchmark Simulation Model No. 1 (BSM1) has been used to simulate the process dynamics. Two types of control strategies were implemented and tested: predictive control without taking into account measured disturbances and predictive control with feedforward. Feedforward control with two measured disturbances (the influent flow rate and ammonium concentration) has been tested.
  • Keywords
    "Process control","Feedforward neural networks","Inductors","Wastewater treatment","Benchmark testing","Mathematical model","Nitrogen"
  • Publisher
    ieee
  • Conference_Titel
    System Theory, Control and Computing (ICSTCC), 2015 19th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICSTCC.2015.7321327
  • Filename
    7321327