A new approach for nonlinear multivariable fed-batch bioprocess trajectory tracking control

FERNANDEZ MARIA CECILIA; ROMOLI SANTIAGO; PANTANO NADIA; OSCAR A. ORTIZ; PATIÑO DANIEL; GUSTAVO SCAGLIA

Automatic Control & Computer Science

Springer Science + Business Media

Año: 2018 vol. 52 p. 13 - 24

0146-4116

This paper proposes a new control law based on linear algebra. This technique allows nonlinearpath tracking in multivariable and complex systems. This new methodology consists in findingthe control action to make the system follow predefined concentration profiles solving a system of linearequations. The controller parameters are selected with a Monte Carlo algorithm so as to minimizea previously defined cost index. The control scheme is applied to a fed-batch penicillin productionprocess. Different tests are shown to prove the controller effectiveness, such as adding parametricuncertainty, perturbations in the control action and in the initial conditions. Moreover, a comparisonwith other controllers from the literature is made, showing the better performance of the presentapproach.