On-line Estimation and Adaptive Control of BioreactorsThis book deals with monitoring and control of biotechnological processes. Different methods are proposed which are based on the nonlinear structure of the process and do not require any a priori knowledge of the fermentation parameters. The theoretical stability and convergence properties of the proposed algorithms are analysed and their performances are illustrated by simulation results and, in many instances, by real life experiments. The concept of software sensors is introduced; these are algorithms based on the nonlinear model of the process and designed for on-line estimation of the biological variables and/or the fermentation parameters. In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques.The book is the result of an intensive joint research effort by the authors during the last decade. It is intended as a graduate level text for students of bioengineering as well as a reference text for scientists and engineers involved in the design and optimization of bioprocesses. |
Contents
DYNAMICAL MODELS OF BIOREACTORS | 1 |
KINETIC MODELLING ESTIMATION AND CONTROL | 83 |
STATE AND PARAMETER ESTIMATION WITH | 101 |
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acid adaptive control algorithm anaerobic digestion asymptotic observer balance equations biocatalyst Bioeng biofilm biological biomass concentration bioreactor Biotechnol biotechnological processes carbon cell chemostat component control law diffusion dilution rate dimensionless dissolved oxygen dynamical model enzyme equilibrium ethanol experimental F₁ fed batch feed rate Figure flow rate follows g/m³ glucose Heinzle influence inhibition initial K₁ K₂ kg/m³ kinetics linearizing control liquid phase m³/h mass balance mass transfer matrix maximum measured methanogenic mg/L Michaelis-Menten microbial growth Monod nitrification Nomenclature Symbols on-line estimation operation oxygen balance oxygen concentration oxygen uptake rate P₁ parameter estimation penicillin product concentration production rate reaction rate reaction scheme Refers S₁ Saturation constant Section shown in Fig simulation example specific growth rate steady steady-state steps stoichiometry substrate concentration substrate inhibition tank variables volume X₁ yield coefficients zero