Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 494990
Title On-line parameter and state estimation in membrane bioreactor systems
Author(s) Keesman, K.J.; Brink, Paula van den
Source IFAC-PapersOnLine 48 (2015)28. - ISSN 2405-8963 - p. 550 - 555.
Event 17th IFAC Symposium on System Identification, Beijing, 2015-10-19/2015-10-21
Department(s) VLAG
Biobased Chemistry and Technology
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Model structure identification; Recursive estimation; State/parameter estimation; Linear
Abstract Membrane bioreactor (MBR) systems need to be controlled in order to extend the period
of effective performance. The local critical flux (LCF) concept is a good starting point for a modelbased
control strategy. Use of a novel linearly reparametrized recursive parameter estimation
technique illustrated that, instead of a constant, the transmembrane pressure parameter is timevarying
and obeying a hyperbolic relationship with respect to time. The hyperbolic relationship,
which allows a physical interpretation, was substituted in the original LCF model. The modified
LCF model was subsequently used in a linearly reparametrized recursive state estimator for the
estimation of mass of deposited solutes and the number of open pores. Copyright © 2015 IFAC
There are no comments yet. You can post the first one!
Post a comment
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.