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An algebra approach for nonlinear multivariable fed-batch bioprocess control

Author

Listed:
  • M. Cecilia Fernández
  • Maria Nadia Pantano
  • Santiago Rómoli
  • H. Daniel Patiño
  • Oscar Alberto Ortiz
  • Gustavo J.E. Scaglia

Abstract

In this paper, a linear algebra-based controller design is proposed. This technique allows tracking, with minimum error, predefined optimal profiles in nonlinear and multivariable systems. To achieve this, control actions are obtained by solving a linear equation system. The controller parameters are selected with a Monte Carlo algorithm. The methodology is applied in a fed-batch penicillin production process, where the control action is the feed flow rate and the tracked profiles are the concentration of biomass, product and subtract inside the reactor. Different tests are shown to prove the good performance of the controller adding: parametric uncertainty and perturbations in the control action and in the initial conditions

Suggested Citation

  • M. Cecilia Fernández & Maria Nadia Pantano & Santiago Rómoli & H. Daniel Patiño & Oscar Alberto Ortiz & Gustavo J.E. Scaglia, 2019. "An algebra approach for nonlinear multivariable fed-batch bioprocess control," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 33(1), pages 38-57.
    • Handle: RePEc:ids:ijisen:v:33:y:2019:i:1:p:38-57
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