Dynamic analysis and comparison of control techniques in the process of obtaining bioethanol
Introduction— Previous reactor models have been used to study the dynamic behavior of bioethanol production systems, however, few have elaborated a comparative study of control strategies that stabilize and control the variables of interest. Objective— The objective of this study is to analyze the s...
- Autores:
-
Muñoz Ñungo, Oneida
Aldemar Muñoz, José
Hernández Sarabia, Héctor Mauricio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/9983
- Acceso en línea:
- https://hdl.handle.net/11323/9983
https://repositorio.cuc.edu.co/
- Palabra clave:
- Alcoholic fermentation
PID control
Fuzzy control
Non-linear systems
Stability
Fermentación alcohólica
Control PID
Control Fuzzy
Sistemas no lineales
Estabilidad
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
| Summary: | Introduction— Previous reactor models have been used to study the dynamic behavior of bioethanol production systems, however, few have elaborated a comparative study of control strategies that stabilize and control the variables of interest. Objective— The objective of this study is to analyze the stability of a fermentation system to obtain bioethanol, its dynamic behavior, the characterization of equilibrium points and bifurcation points of the mathematical model proposed by Jarzebski in 1992 for a continuous fermentation, taking into account the performance of the reaction in a bioreactor and the application of industrial control techniques for its optimization. Methodology— Review and design methods of quantitative and systematized type were used. Results— The comparison between two control strategies to control bioethanol production, PID control and Fuzzy. Conclusions— This work shows the importance of the stability analysis of a continuous system and how it can define the regions of operational interest, in this case for ethanol production, showing that productivity is inversely proportional to the dilution rate. Finally, it is concluded that a better dynamic behavior of the system is obtained when a Fuzzy controller is used. This work also shows the importance of the stability analysis of a continuous system and how it can define the regions of operational interest, in this case for the production of ethanol. |
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