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Lopéz-Peréz PA, Rodriguez-Mata AE, Hernández-González O, Amabilis-Sosa LE, Baray-Arana R, Leon-Borges J. Design of a Robust sliding mode controller for bioreactor cultures in overflow metabolism via an interdisciplinary approach. OPEN CHEM 2022. [DOI: 10.1515/chem-2021-0098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Microorganism culture is highly complex due to the different metabolic pathways, which are very complex. A metabolic phenomenon called overflow is a challenge to overcome in automatic control tasks of microorganism cultures. In this study, a nonlinear algorithm by sliding modes (sliding mode nonlinear control, SMNC) is proposed for the robust regulation of a fed-batch bioreactor in the presence of parametric and system perturbations. A control design is obtained using Lyapunov functions by techniques to propose a control law such that it is robust, only the output signals (biomass and volume) are used, and the reaction rates do not have to be wholly known. Therefore, a novel and simple controller capable of solving the above problems is obtained.
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Affiliation(s)
- Pablo Antonio Lopéz-Peréz
- Universidad Autonoma del Estado de Hidalgo. Escuela Superior de Apan, Ubicado en Chimalpa Tlalayote, Municipio de Apan Hidalgo , Apan , Mexico
| | | | - Omar Hernández-González
- CONACYT-Tecnológico Nacional de México/Instituto Tecnológico de Hermosillo , Hermosillo , Sonora , México
| | - Leonel E. Amabilis-Sosa
- CONACYT-Tecnológico Nacional de México/Instituto Tecnológico de Culiacán , 80220 Culiacán Rosales , Sinaloa , Mexico
| | - Rogelio Baray-Arana
- Tecnológico Nacional de México/Instituto Tecnológico de Chihuahua , 31200 Chihuahua , Sinaloa , Mexico
| | - Jesus Leon-Borges
- Universidad de Quintana Roo, División de Ciencias, Ingeniería y Tecnología , Cancun , Quintana Roo , Mexico
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A turbidity sensor development based on NL-PI observers: Experimental application to the control of a Sinaloa’s River Spirulina maxima cultivation. OPEN CHEM 2020. [DOI: 10.1515/chem-2020-0119] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AbstractThis article addresses the problem of controlling the growth of microalgae originating in Mexican rivers, especially in the state of Sinaloa, Culiacan River. For this purpose, a robust, high-gain nonlinear observer is proposed to estimate the unknown disturbance in the cultivation of mixotrophic microalgae with the presence of organic nutrients. Once a perturbation function related to the change of ambient light is estimated, an output feedback control for the photobioreactor is proposed, in which through Lyapunov’s convergence functions, the final boundary stability conditions are obtained. Thus, a turbidity sensor was designed for Spirulina platensis, a native microalgae of Culiacan River, which is presented using the MATLAB-Arduino programming environment. This sensor is calibrated using biomass culture and is a low-cost device. Through the numerical study, the feasibility and performance of the control and the observer are evaluated. Finally, real-time experimental evaluations are made based on the literature, studying the use of robust controllers in a photobioreactor with a mixed culture, in the presence of environmental changes in lighting.
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