Virtual Sensors to Drive Anaerobic Digestion under a Synergetic Controller

Hanane Bouchareb, Samia Semcheddine, Mohamed Naguib Harmas, Kouider Nacer M’sirdi and Aziz Naamane
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Hanane Bouchareb: LEPCI Laboratory, Faculty of Technology, Ferhat Abbas University, Setif 19000, Algeria
Samia Semcheddine: LEPCI Laboratory, Faculty of Technology, Ferhat Abbas University, Setif 19000, Algeria
Mohamed Naguib Harmas: QUERE Laboratory, Faculty of Technology, Ferhat Abbas University, Setif 19000, Algeria
Kouider Nacer M’sirdi: LSIS Laboratory, Aix Marseille University, 13397 Marseille, France
Aziz Naamane: LSIS Laboratory, Aix Marseille University, 13397 Marseille, France

Energies, 2019, vol. 12, issue 3, 1-18

Abstract: A robust synergetic controller using different observers is developed to drive an anaerobic digestion biogas plant. The latter, a highly nonlinear process requires prohibitive cost sensors. Furthermore, some variables are downright immeasurable rendering control an intricate challenge. Only biogas flow which can be effectively measured, due to an easily integrated low cost sensor, will be considered available and used in this work. The proposed synergetic controller depends on immeasurable system states, thus observers will be used for state estimation. Substrate and biomass concentrations required in the synergetic control law will be obtained via three virtual sensors developed for a one stage fermentation process model. The model, used in this paper, consider the mechanization phase responsible for the biogas production because the objective is to improve the amount of methane produced. A simulation study of the biogas plant control with the proposed technique is compared to a classic PID (Proportional, Integral and Derivative) approach. Comparative studies are provided for observation and control via computer simulations.

Keywords: Anaerobic digestion; synergetic control; soft sensor; methane; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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