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Robust Regulation of Alkalinity in Highly Uncertain Continuous Anaerobic Digestion Processes
Author(s) -
AlcarazGonzález Víctor,
FregosoSanchez Fabián Azael,
MendezAcosta Hugo Oscar,
GonzalezAlvarez Victor
Publication year - 2013
Publication title -
clean – soil, air, water
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 66
eISSN - 1863-0669
pISSN - 1863-0650
DOI - 10.1002/clen.201100736
Subject(s) - alkalinity , control theory (sociology) , robust control , anaerobic digestion , multivariable calculus , controller (irrigation) , stability (learning theory) , computer science , control system , control (management) , chemistry , control engineering , engineering , agronomy , organic chemistry , methane , artificial intelligence , machine learning , electrical engineering , biology
In this paper, a multiple‐input multiple‐output (MIMO) model‐based robust control scheme is proposed for the indirect control of both total alkalinity and the ratio (intermediate alkalinity)/(total alkalinity) by regulating volatile fatty acid concentrations and strong ions concentration, while guaranteeing the so‐called operational stability in anaerobic digestion (AD) processes. The proposed MIMO regulator is an adaptive controller derived from an AD model which incorporates the physicochemical equilibrium of the system as well as the use of a robust interval observer to estimate key process bounds that are used in the computation of the control efforts. Numerical simulations were carried out for a number of operating conditions under the most uncertain scenarios. Results showed that the proposed multivariable control law is able to recover the system stability around a pre‐determined set point in the face of parameter uncertainty and load disturbances.