Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms

TitleReaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
Publication TypeJournal Article
Year of Publication2012
AuthorsDe Battista H, Picó J, Garelli F, Navarro JL
JournalBioprocess and Biosystems Engineering
Volume35
Pagination1615-1625
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 frommeasurement 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 paperwe generalize and refine these preliminary results. We develop a new observer with a different error structure to copewith 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 timevarying 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.

DOI10.1007/s00449-012-0752-y
Research Line: 
Control de sistemas y procesos biológicos
Control of biological processes and systems
Control and monitoring of bioprocesses
Control y monitoreo de bioprocesos