On-line parameter and state estimation in membrane bioreactor systems

K.J. Keesman, Paula van den Brink

Research output: Contribution to journalArticleAcademicpeer-review

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
Original languageEnglish
Pages (from-to)550-555
JournalIFAC-PapersOnLine
Volume48
Issue number28
DOIs
Publication statusPublished - 2015
Event17th IFAC Symposium on System Identification - Beijing International Convention Center, Beijing, China
Duration: 19 Oct 201521 Oct 2015

Keywords

  • Model structure identification; Recursive estimation; State/parameter estimation; Linear

Fingerprint Dive into the research topics of 'On-line parameter and state estimation in membrane bioreactor systems'. Together they form a unique fingerprint.

  • Cite this