IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v48y1999i3p269-280.html
   My bibliography  Save this article

Estimation and optimal control design of a biological wastewater treatment process

Author

Listed:
  • Nejjari, F.
  • Roux, G.
  • Dahhou, B.
  • Benhammou, A.

Abstract

This paper deals with the on-line estimation and optimal control of a biological wastewater treatment process. The objective of the control is to force the residual substrate and the dissolved oxygen concentrations to track a given reference model despite the disturbances and system parameter uncertainties. The control law is based on one step ahead prediction of the controlled variables and minimization of an appropriate quadratic cost function. The technique is based on direct exploitation of the nonlinear model representing the wastewater treatment process and is coupled with an asymptotic estimator for on-line tracking of simultaneously unavailable states and time varying parameters. The estimated variables are used in the explicit design of the control algorithm according to certainty equivalence principle. A simulation study subject to measurement noise and abrupt jumps in the kinetic parameters shows the feasibility and robustness of the control strategy.

Suggested Citation

  • Nejjari, F. & Roux, G. & Dahhou, B. & Benhammou, A., 1999. "Estimation and optimal control design of a biological wastewater treatment process," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(3), pages 269-280.
    • Handle: RePEc:eee:matcom:v:48:y:1999:i:3:p:269-280
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037847549800158X
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:matcom:v:48:y:1999:i:3:p:269-280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/mathematics-and-computers-in-simulation/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.