• DocumentCode
    2010534
  • Title

    A New Framework for Controller Performance Assessment

  • Author

    Yuan, Qiaolin ; Lennox, Barry

  • Author_Institution
    Manchester Univ., Manchester
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2679
  • Lastpage
    2684
  • Abstract
    A new framework of controller performance assessment is presented. The control performance index -relative variance index is recalculated more simply by adopting the normal operating data plus knowledge of the plant model. Then, the potential improvement to control performance by retuning the controller can be detected according to a comparison of the current control performance with that of the optimally tuned controller, which is based on the regeneration of normal operating data accuracy without estimating the disturbance model, instead, estimating disturbance directly. This helps define the best controller for specific systems, in order to make immune from any exceptional disturbance. The benefits of this new control performance assessment framework are demonstrated on a univariate system simulation.
  • Keywords
    optimal control; performance index; control performance index; controller performance assessment; data accuracy; optimally tuned controller; plant model; relative variance index; Automatic control; Automation; Control systems; Current control; Delay effects; Open loop systems; Optimal control; Performance analysis; Product safety; Production systems; Harris index; closed-loop system identificaton; controller performance assessment; minimum variance control; relative variance index;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376848
  • Filename
    4376848