• DocumentCode
    2636052
  • Title

    Supply Air Temperature Control in an Industrial HVAC Pilot Plant Based on Smith Predictor and Inward Approach

  • Author

    Rehrl, Jakob ; Horn, Martin

  • Author_Institution
    Control & Meas. Syst. Group, Univ. of Klagenfurt, Klagenfurt, Austria
  • fYear
    2009
  • fDate
    7-9 Sept. 2009
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    This paper focuses on the supply air temperature control in a complex heating ventilating and air conditioning system. In industrial applications it is a common practice to use standard PI-controllers for temperature control. Typically the controller parameters are either found empirically or by employing standard tuning rules. The present work proposes a systematic approach to tackle the design problem. It is based on the so-called inward approach in combination with a Smith predictor. Given performance criteria are taken into account with the presented method. The plant model used for controller synthesis is a second order system with dead time. Its parameters were identified by experiments. The performance of the suggested (non-PI) strategy is compared to a conventional PI-controller which is tuned via the well known T-sum-rule. Finally, experimental results of a real world pilot plant are presented.
  • Keywords
    HVAC; PI control; temperature control; PI-controllers; Smith predictor; T-sum-rule; air conditioning system; complex heating ventilation; controller synthesis; industrial HVAC pilot plant; second order system; standard tuning rules; supply air temperature control; Air conditioning; Computational modeling; Control system synthesis; Control systems; Electrical equipment industry; Heating; Industrial control; Predictive models; Temperature control; Tuning; HVAC-control; Smith predictor; inward approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation, 2009. CSSim '09. International Conference on
  • Conference_Location
    Brno
  • Print_ISBN
    978-1-4244-5200-2
  • Electronic_ISBN
    978-0-7695-3795-5
  • Type

    conf

  • DOI
    10.1109/CSSim.2009.14
  • Filename
    5350106