INVESTIGADORES
DE BATTISTA Hernan
artículos
Título:
Reaction Rate Reconstruction from Biomass Concentration Measurement in Bioreactors Using Modified Second-Order Sliding Mode Algorithms
Autor/es:
DE BATTISTA, H.; PICÓ, J.; GARELLI, F.; NAVARRO, J.
Revista:
BIOPROCESS AND BIOSYSTEMS ENGINEERING
Editorial:
SPRINGER
Referencias:
Lugar: Berlin; Año: 2012 vol. 35 p. 1615 - 1625
ISSN:
1615-7591
Resumen:
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.