Virtual Sensors to Drive Anaerobic Digestion under a Synergetic Controller
| Autor: | Bouchareb, Hanane, Semcheddine, Samia, Harmas, Mohamed, Naamane, Aziz, Harmas, Mohamed Naguib, M'Sirdi, Kouider |
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| Přispěvatelé: | Laboratoire LEPCI - Faculté de technologie (LEPCI), Université Farhat Abbas Sétif 1 (UFAS1), Université Ferhat-Abbas Sétif 1 [Sétif] (UFAS1), LEPCI - Laboratoire LEPCI - Faculté de technologie (LEPCI), Systèmes Automatisés à Structure Variable (SASV), Laboratoire d'Informatique et Systèmes (LIS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Renewable energy
Control and Optimization Computer science 020209 energy Energy Engineering and Power Technology PID controller Biomass 02 engineering and technology lcsh:Technology 7. Clean energy Methane [SPI.AUTO]Engineering Sciences [physics]/Automatic chemistry.chemical_compound [SPI]Engineering Sciences [physics] 0203 mechanical engineering Biogas Control theory Bioenergy Virtual sensors Anaerobic digestion 0202 electrical engineering electronic engineering information engineering renewable energy Electrical and Electronic Engineering Engineering (miscellaneous) Biogas production lcsh:T Renewable Energy Sustainability and the Environment business.industry 020302 automobile design & engineering Soft sensor Nonlinear system chemistry Synergetic control Fermentation business Energy (miscellaneous) |
| Zdroj: | Energies Energies, 2019, 12 (3), pp.430. ⟨10.3390/en12030430⟩ Volume 12 Issue 3 Energies, MDPI, 2019, 12 (3), pp.430. ⟨10.3390/en12030430⟩ Energies, Vol 12, Iss 3, p 430 (2019) |
| ISSN: | 1996-1073 |
| DOI: | 10.3390/en12030430⟩ |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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