Upload resources

Upload your works to SEDICI to increase its visibility and improve its impact

 

Show simple item record

dc.date.accessioned 2021-08-31T16:36:04Z
dc.date.available 2021-08-31T16:36:04Z
dc.date.issued 2012-05-22
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/123847
dc.description.abstract This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms from measurement of biomass concentration. In a recent article, notions of high-order sliding modes have been used to derive a growth rate observer for batch processes. In this paper we generalize and refine these preliminary results. We develop a new observer with a different error structure to cope with other types of processes. Furthermore, we show that these observers are equivalent, under coordinate transformations and time scaling, to the classical super-twisting differentiator algorithm, thus inheriting all its distinctive features. The new observers' family achieves convergence to time-varying unknown signals in finite time, and presents the best attainable estimation error order in the presence of noise. In addition, the observers are robust to modeling and parameter uncertainties since they are based on minimal assumptions on bioprocess dynamics. In addition, they have interesting applications in fault detection and monitoring. The observers performance in batch, fed-batch and continuous bioreactors is assessed by experimental data obtained from the fermentation of Saccharomyces Cerevisiae on glucose. en
dc.format.extent 1615-1625 es
dc.language en es
dc.subject Bioreactors es
dc.subject Bioprocess control es
dc.subject Bioprocess observers es
dc.subject Sliding modes es
dc.title Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms en
dc.type Articulo es
sedici.identifier.other pmid:22614333 es
sedici.identifier.other doi:10.1007/s00449-012-0752-y es
sedici.identifier.issn 1615-7605 es
sedici.identifier.issn 1615-7591 es
sedici.creator.person De Battista, Hernán es
sedici.creator.person Picó, Jesús es
sedici.creator.person Garelli, Fabricio es
sedici.creator.person Navarro, J. L. es
sedici.subject.materias Ingeniería es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Ingeniería es
mods.originInfo.place Instituto de Investigaciones en Electrónica, Control y Procesamiento de Señales es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Bioprocess and Biosystems Engineering es
sedici.relation.journalVolumeAndIssue vol. 35, no. 9 es


Download Files

This item appears in the following Collection(s)

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)