1st Edition
by Pablo A. López Pérez (Author), Ricardo Aguilar López (Author), Ricardo Femat (Author)
Closes the gap between bioscience and mathematics-based process engineering
This
book presents the most commonly employed approaches in the control of
bioprocesses. It discusses the role that control theory plays in
understanding the mechanisms of cellular and metabolic processes, and
presents key results in various fields such as dynamic modeling, dynamic
properties of bioprocess models, software sensors designed for the
online estimation of parameters and state variables, and control and
supervision of bioprocesses
Control in Bioengineering and Bioprocessing: Modeling, Estimation and the Use of Sensors
is divided into three sections. Part I, Mathematical preliminaries and
overview of the control and monitoring of bioprocess, provides a general
overview of the control and monitoring of bioprocesses, and introduces
the mathematical framework necessary for the analysis and
characterization of bioprocess dynamics. Part II, Observability and
control concepts, presents the observability concepts which form the
basis of design online estimation algorithms (software sensor) for
bioprocesses, and reviews controllability of these concepts, including
automatic feedback control systems. Part III, Software sensors and
observer-based control schemes for bioprocesses, features six
application cases including dynamic behavior of 3-dimensional continuous
bioreactors; observability analysis applied to 2D and 3D bioreactors
with inhibitory and non-inhibitory models; and regulation of a
continuously stirred bioreactor via modeling error compensation.
- Applicable
across all areas of bioprocess engineering, including food and
beverages, biofuels and renewable energy, pharmaceuticals and
nutraceuticals, fermentation systems, product separation technologies,
wastewater and solid-waste treatment technology, and bioremediation
- Provides
a clear explanation of the mass-balance–based mathematical modelling of
bioprocesses and the main tools for its dynamic analysis
- Offers
industry-based applications on: myco-diesel for implementing "quality"
of observability; developing a virtual sensor based on the Just-In-Time
Model to monitor biological control systems; and virtual sensor design
for state estimation in a photocatalytic bioreactor for hydrogen
production
Control in Bioengineering and Bioprocessing
is intended as a foundational text for graduate level students in
bioengineering, as well as a reference text for researchers, engineers,
and other practitioners interested in the field of estimation and
control of bioprocesses.
