• DocumentCode
    3075814
  • Title

    Performance assessment of DMC controllers

  • Author

    Hugo, Alan

  • Author_Institution
    Control Arts, Danville, CA, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2640
  • Abstract
    The theory and technology of dynamic matrix control (DMC) or multivariable controllers is well developed, and these controllers have been running in industrial applications for several years. There is heightened interest in assessing the performance of these controllers. The multivariable performance measurements developed so far are computationally intensive, often require complete transfer functions, and are strictly speaking for the unconstrained case. To a certain extent however, the single loop metrics are applicable for the multivariable case, and are at any rate an improvement over using set-point error variance alone. One of the most common metrics is the Harris performance index. The paper discusses if performance indices are suitable for the evaluation of DMC controllers. As demonstrated, one of the key assumptions of many performance indices is not realized for DMC control, and modifications must be made if these indices are to be applicable
  • Keywords
    autoregressive moving average processes; controllers; industrial control; multivariable control systems; performance index; ARIMA model; Harris performance index; dynamic matrix control; industrial control; multivariable controllers; single loop metrics; Degradation; Error correction; Feedback control; Industrial control; Monte Carlo methods; Performance analysis; Predictive models; Servomechanisms; Three-term control; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.786548
  • Filename
    786548