Trajectory Tracking Controller for a Nonlinear Fed-batch Bioprocess

• Published in: Ingeniería electrónica, automática y comunicaciones Vol. 38; no. 1; pp. 68 - 78
• Main Authors: Pantano, María N., Fernández, María C., Serrano, Mario E., Ortiz, Oscar A., Scaglia, Gustavo J.
• Format: Journal Article
• Language: English; Portuguese
• Published: Universidad Tecnológica de La Habana José Antonio Echeverría, Cujae 01-04-2017
• Subjects: algebraic approaches; AUTOMATION & CONTROL SYSTEMS; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE, HARDWARE & ARCHITECTURE; Control multivariable; enfoque algebraico; ENGINEERING, BIOMEDICAL; ENGINEERING, ELECTRICAL & ELECTRONIC; Multivariable control; NANOSCIENCE & NANOTECHNOLOGY; nonlinear systems; optimal trajectories; ROBOTICS; seguimiento de trayectoria; sistemas no lineales; TELECOMMUNICATIONS; trajectory tracking; trayectorias óptimas; algebraic approaches; nonlinear systems; optimal trajectories; Multivariable control; Control multivariable; seguimiento de trayectoria; trayectorias óptimas; sistemas no lineales; trajectory tracking; enfoque algebraico
• ISSN: 1815-5928; 0258-5944; 1815-5928

This paper aims to develop a simple but efficient control technique based on a linear algebra approach for tracking optimal profiles of a nonlinear multivariable fed-batch bioprocess. The methodology proposed allows, knowing the desired states, to find the values for the control actions by solving a system of linear equations. Its main advantage is that the condition for the tracking error tends to zero. The efficiency of the proposed controller is tested through several simulations. The optimal controller parameters are selected through Montecarlo Randomized Algorithm in order to minimize a cost index.