Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion
Microalgae are used to produce renewable biofuels (biodiesel, bioethanol, biogas, and biohydrogen) and high-value-added products, as well as in bioremediation and CO<sub>2</sub> sequestration tasks. In the case of anaerobic digestion of microalgae, biogas can be produced from mainly prot...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Fermentation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2311-5637/9/1/34 |
| _version_ | 1797442901411627008 |
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| author | Mariana Rodríguez-Jara Alejandra Velasco-Pérez Jose Vian Sergio E. Vigueras-Carmona Héctor Puebla |
| author_facet | Mariana Rodríguez-Jara Alejandra Velasco-Pérez Jose Vian Sergio E. Vigueras-Carmona Héctor Puebla |
| author_sort | Mariana Rodríguez-Jara |
| collection | DOAJ |
| description | Microalgae are used to produce renewable biofuels (biodiesel, bioethanol, biogas, and biohydrogen) and high-value-added products, as well as in bioremediation and CO<sub>2</sub> sequestration tasks. In the case of anaerobic digestion of microalgae, biogas can be produced from mainly proteins and carbohydrates. Anaerobic digestion is a complex process that involves several stages and is susceptible to operational instability due to various factors. Robust controllers with simple structure and design are necessary for practical implementation purposes and to achieve a proper process operation despite process variabilities, uncertainties, and complex interactions. This paper presents the application of a control design based on the modeling error compensation technique for the anaerobic digestion of microalgae. The control design departs from a low-order input–output model by enhancement with uncertainty estimation. The results show that achieving desired organic pollution levels and methanogenic biomass concentrations as well as minimizing the effect of external perturbations on a benchmark case study of the anaerobic digestion of microalgae is possible with the proposed control design. |
| first_indexed | 2024-03-09T12:48:18Z |
| format | Article |
| id | doaj.art-c06ca303267d433783960c2b86b27d34 |
| institution | Directory Open Access Journal |
| issn | 2311-5637 |
| language | English |
| last_indexed | 2024-03-09T12:48:18Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fermentation |
| spelling | doaj.art-c06ca303267d433783960c2b86b27d342023-11-30T22:10:33ZengMDPI AGFermentation2311-56372022-12-01913410.3390/fermentation9010034Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic DigestionMariana Rodríguez-Jara0Alejandra Velasco-Pérez1Jose Vian2Sergio E. Vigueras-Carmona3Héctor Puebla4Universidad Autónoma Metropolitana Azcapotzalco, Ciudad de México 02128, MexicoUniversidad Veracruzana Campus Orizaba, Orizaba Veracruz 94300, MexicoUniversidad Politécnica de Huatusco, Veracruz 94116, MexicoTecnológico de Estudios Superiores de Ecatepec, Estado de México 55210, MexicoUniversidad Autónoma Metropolitana Azcapotzalco, Ciudad de México 02128, MexicoMicroalgae are used to produce renewable biofuels (biodiesel, bioethanol, biogas, and biohydrogen) and high-value-added products, as well as in bioremediation and CO<sub>2</sub> sequestration tasks. In the case of anaerobic digestion of microalgae, biogas can be produced from mainly proteins and carbohydrates. Anaerobic digestion is a complex process that involves several stages and is susceptible to operational instability due to various factors. Robust controllers with simple structure and design are necessary for practical implementation purposes and to achieve a proper process operation despite process variabilities, uncertainties, and complex interactions. This paper presents the application of a control design based on the modeling error compensation technique for the anaerobic digestion of microalgae. The control design departs from a low-order input–output model by enhancement with uncertainty estimation. The results show that achieving desired organic pollution levels and methanogenic biomass concentrations as well as minimizing the effect of external perturbations on a benchmark case study of the anaerobic digestion of microalgae is possible with the proposed control design.https://www.mdpi.com/2311-5637/9/1/34microalgaeanaerobic digestionprocess controlrobust control |
| spellingShingle | Mariana Rodríguez-Jara Alejandra Velasco-Pérez Jose Vian Sergio E. Vigueras-Carmona Héctor Puebla Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion Fermentation microalgae anaerobic digestion process control robust control |
| title | Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion |
| title_full | Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion |
| title_fullStr | Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion |
| title_full_unstemmed | Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion |
| title_short | Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion |
| title_sort | robust control based on modeling error compensation of microalgae anaerobic digestion |
| topic | microalgae anaerobic digestion process control robust control |
| url | https://www.mdpi.com/2311-5637/9/1/34 |
| work_keys_str_mv | AT marianarodriguezjara robustcontrolbasedonmodelingerrorcompensationofmicroalgaeanaerobicdigestion AT alejandravelascoperez robustcontrolbasedonmodelingerrorcompensationofmicroalgaeanaerobicdigestion AT josevian robustcontrolbasedonmodelingerrorcompensationofmicroalgaeanaerobicdigestion AT sergioeviguerascarmona robustcontrolbasedonmodelingerrorcompensationofmicroalgaeanaerobicdigestion AT hectorpuebla robustcontrolbasedonmodelingerrorcompensationofmicroalgaeanaerobicdigestion |