• DocumentCode
    2332284
  • Title

    Adaptive predictive expert (ADEX) control: application to wastewater treatment plants

  • Author

    Riesco, J. ; Calvo, J. ; Martin-Sanchez, Juan M.

  • Author_Institution
    ADEX, Madrid, Spain
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    992
  • Abstract
    This paper presents the application of a new adaptive predictive expert (ADEX) control methodology to the biological phase of a residual water treatment plant. The ADEX methodology adds an expert block into the operation of previously known adaptive predictive control systems. This expert block, based on rules and in the evolution of the process variables, determines and/or modifies the operations of the driver block, control block and adaptive feedback mechanism of the previous art, in order to improve the performance, robustness and stability of the overall control system. The biological process has an inherent multivariable, time-varying and nonlinear dynamic nature, and is submitted to stochastic and discontinuous perturbations, such as significant changes in the flow rate of residual water and its load of dirtiness. The integration of ADEX controllers within a control and optimization strategy, implemented in the local PLC, allowed the new control system to achieve a precise control of the oxygen levels and to optimize the process operation.
  • Keywords
    adaptive control; expert systems; optimisation; predictive control; process control; water treatment; ADEX; adaptive control; adaptive predictive expert control; expert block; expert systems; optimization; predictive control; process control; wastewater treatment plants; Adaptive control; Adaptive systems; Biological control systems; Control systems; Evolution (biology); Plants (biology); Predictive control; Programmable control; Robust stability; Wastewater treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2002. Proceedings of the 2002 International Conference on
  • Print_ISBN
    0-7803-7386-3
  • Type

    conf

  • DOI
    10.1109/CCA.2002.1038739
  • Filename
    1038739