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A novel nonlinear sliding mode observer to estimate biomass for lactic acid production

  • Pablo A. López-Pérez , Milagros López-López , Carlos A. Núñez-Colín , Hamid Mukhtar , Ricardo Aguilar-López and Vicente Peña-Caballero EMAIL logo
Published/Copyright: December 27, 2022
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Chemical Product and Process Modeling
From the journal Chemical Product and Process Modeling Volume 18 Issue 4

Abstract

This study deals with the problem of estimating the amount of biomass and lactic acid concentration in a lactic acid production process. A continuous stirred tank bioreactor was used for the culture of Lactobacillus helveticus. A nonlinear sliding mode observer is proposed and designed, which gives an estimate of both the biomass and lactic acid concentrations as a function of glucose uptake from the culture medium. Numerical results are given to illustrate the effectiveness of the proposed observer against a standard sliding-mode observer. It was found that the proposed observer worked very well for the benchmark bioreactor model. Also, the numerical results indicated that the proposed estimation methodology was robust to the uncertainties associated with un-modelled dynamics. These new sensing technologies, when coupled to software models, improve performance for smart process control, monitoring, and prediction.

Keywords: lactic acid fermentation; nonlinear observer; observability analysis; sliding mode observer design
Corresponding author: Vicente Peña-Caballero, University of Guanajuato, Av. Ing. Barros Sierra No. 201 Ejido de Santa María del Refugio, C.P. 38140 Celaya, Guanajuato, Mexico, E-mail:

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The author V.P.C. thanks the DAIP-UG and the rectory of the CCS for the support of the project “Design of nonlinear estimators with application to biological systems” number CIDSC-3291201.

  3. Conflicts of Interest: The authors declare no conflict of interest.

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Received: 2021-12-20
Accepted: 2022-12-03
Published Online: 2022-12-27

© 2022 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. MSP designing with optimal fractional PI–PD controller for IPTD processes
  4. A novel nonlinear sliding mode observer to estimate biomass for lactic acid production
  5. pH prediction for a semi-batch cream cheese fermentation using a grey-box model
  6. Modeling of carbon dioxide and hydrogen sulfide pollutants absorption in wetted-wire columns with alkanolamines
  7. Pharmaceutical wastewater treatment using TiO2 nanosheets deposited by cobalt co-catalyst as hybrid photocatalysts: combined experimental study and artificial intelligence modeling
  8. Numerical simulation of fluid flow mixing in flow-focusing microfluidic devices
  9. A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds
  10. Intensification of thorium biosorption onto protonated orange peel using the response surface methodology
  11. Investigating the energy, environmental, and economic challenges and opportunities associated with steam sterilisation autoclaves
  12. Short Communication
  13. Molecular dynamics simulations of water-ethanol droplet on silicon surface
https://doi.org/10.1515/cppm-2021-0074
Keywords for this article
lactic acid fermentation; nonlinear observer; observability analysis; sliding mode observer design

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. MSP designing with optimal fractional PI–PD controller for IPTD processes
  4. A novel nonlinear sliding mode observer to estimate biomass for lactic acid production
  5. pH prediction for a semi-batch cream cheese fermentation using a grey-box model
  6. Modeling of carbon dioxide and hydrogen sulfide pollutants absorption in wetted-wire columns with alkanolamines
  7. Pharmaceutical wastewater treatment using TiO2 nanosheets deposited by cobalt co-catalyst as hybrid photocatalysts: combined experimental study and artificial intelligence modeling
  8. Numerical simulation of fluid flow mixing in flow-focusing microfluidic devices
  9. A nonlinear autoregressive exogenous neural network (NARX-NN) model for the prediction of solvent-based oil extraction from Hura crepitans seeds
  10. Intensification of thorium biosorption onto protonated orange peel using the response surface methodology
  11. Investigating the energy, environmental, and economic challenges and opportunities associated with steam sterilisation autoclaves
  12. Short Communication
  13. Molecular dynamics simulations of water-ethanol droplet on silicon surface
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