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Design of software sensors for unmeasurable variables of anaerobic digestion processes

Ivan Simeonov 1, * Sette Diop 2 Boyko Kalchev 1 Elena Chorukova 1 Nicolai Christov 3
* Corresponding author
3 SyNeR - Systèmes Non Linéaires et à Retards
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : The paper deals with software sensor design for unmeasurable variables of anaerobic digestion processes. For this purpose, different mathematical models of anaerobic digestion and different theoretical approaches (differential algebraic approach, Kalman filter modifications and H-infinity filter) have been applied to develop software sensors as dynamic relations between some easily measurable variables and some unmeasurable ones (specific growth rates, biomass and substrate concentrations) of the most important bacteria participating in these processes. Comparative studies have been provided via computer simulations. The experimental validation of the sensors is under investigation on a pilot-scale anaerobic bioreactor with computer monitoring system.
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Submitted on : Friday, May 31, 2013 - 4:27:30 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:21 PM
Long-term archiving on: : Tuesday, April 4, 2017 - 2:42:27 PM


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  • HAL Id : hal-00828853, version 1


Ivan Simeonov, Sette Diop, Boyko Kalchev, Elena Chorukova, Nicolai Christov. Design of software sensors for unmeasurable variables of anaerobic digestion processes. New trends in microbiology. 65th anniversary of the Stephan Angeloff Institute of Microbiology, 2012, Bulgaria. pp.307-311. ⟨hal-00828853⟩



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