• DocumentCode
    3312791
  • Title

    Coupling framers to get enhanced interval observers. Application to growth rate estimation in a photobioreactor

  • Author

    Mairet, Francis ; Bernard, Olivier

  • Author_Institution
    Projet COMORE, INRIA Sophia-Antipolis, Sophia-Antipolis, France
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    7581
  • Lastpage
    7586
  • Abstract
    This paper proposes strategies to couple a set of framers (called bundle of framers), that all give a state bounding provided that a bounding of the initial condition is known. We first show that the best state estimate can be used at any time to enhance the estimate of each framer. Then we show how to build a framer which provides the best estimate at any time. We introduce a bounded estimate within the framer bundle in order to ensure the boundness of the estimate and finally get an interval observer. This enhanced interval observer design is applied to the estimate of state variables in a photobioreactor, and especially to the specific growth rate evaluation. The microalgal model is Droop model, from which the dynamics of the growth and substrate uptake rates are derived. Various framers can be derived from this model, guarantying bounds on the prediction error. These framers are then coupled together and lead to an improved estimate.
  • Keywords
    bioreactors; observers; Droop model; best state estimate; bounded estimate; coupling framers; enhanced interval observers; framer bundle; growth rate estimation; growth rate evaluation; initial condition; interval observer design; microalgal model; photobioreactor; state bounding; substrate uptake rates; Biomass; Bioreactors; Computational efficiency; Discrete time systems; Observers; Predictive models; Robustness; Stability; State estimation; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400600
  • Filename
    5400600