An algebra approach for nonlinear multivariable fed-batch bioprocess control
| Autor: | Maria Nadia Pantano, Gustavo Scaglia, Santiago Romoli, M. Cecilia Fernández, Oscar A. Ortiz, H. Daniel Patiño |
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| Rok vydání: | 2019 |
| Předmět: |
021103 operations research
Multivariable calculus 0211 other engineering and technologies 02 engineering and technology Industrial and Manufacturing Engineering Action (physics) Nonlinear system Control and Systems Engineering Control theory Linear algebra Linear equation Monte Carlo algorithm Mathematics Parametric statistics |
| Zdroj: | International Journal of Industrial and Systems Engineering. 33:38 |
| ISSN: | 1748-5045 1748-5037 |
| DOI: | 10.1504/ijise.2019.10023564 |
| Popis: | 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 |
| Databáze: | OpenAIRE |
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