PROBIEN   20416
INSTITUTO DE INVESTIGACION Y DESARROLLO EN INGENIERIA DE PROCESOS, BIOTECNOLOGIA Y ENERGIAS ALTERNATIVAS
Unidad Ejecutora - UE
artículos
Título:
An algebra approach for nonlinear multivariable fed-batch bioprocess control
Autor/es:
FERNÁNDEZ, M. CECILIA; PATIÑO, H. DANIEL; PANTANO, MARIA NADIA; ORTIZ, OSCAR ALBERTO; RÓMOLI, SANTIAGO; SCAGLIA, GUSTAVO J.E.
Revista:
International Journal of Industrial and Systems Engineering
Editorial:
Inderscience Publicher
Referencias:
Lugar: Londres; Año: 2019 vol. 33 p. 38 - 57
ISSN:
1748-5037
Resumen:
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