文章基本信息
- 标题：ON-LINE PARAMETER AND STATE ESTIMATION IN MEMBRANE BIOREACTOR SYSTEMS
- 本地全文：下载
- 作者：Karel J. Keesman ; Paula van den Brink
- 期刊名称：IFAC PapersOnLine
- 印刷版ISSN：2405-8963
- 出版年度：2015
- 卷号：48
- 期号：28
- 页码：550-555
- DOI：10.1016/j.ifacol.2015.12.186
- 语种：English
- 出版社：Elsevier
- 摘要：AbstractMembrane 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
- 关键词：KeywordsModel structure identificationRecursive estimationState/parameter estimationLinear reparametrization;Membrane bioreactorMembrane fouling
