On-line parameter and state estimation in membrane bioreactor systems

K.J. Keesman, Paula van den Brink

Research output: Contribution to journalArticleAcademicpeer-review


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


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


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