Model predictive control algorithms and their application to a continuous fermenter
Título del documento: Model predictive control algorithms and their application to a continuous fermenter
Revista: Brazilian journal of chemical engineering
Base de datos: PERIÓDICA
Número de sistema: 000308650
ISSN: 0104-6632
Autores: 1
Instituciones: 1Universidade Federal de Sao Carlos, Departamento de Engenharia Quimica, Sao Carlos, Sao Paulo. Brasil
Año:
Periodo: Jun
Volumen: 16
Número: 2
Paginación: 155-161
País: Brasil
Idioma: Inglés
Tipo de documento: Artículo
Enfoque: Experimental, aplicado
Resumen en inglés In many continuous fermentation processes, the control objective is to maximize productivity per unit time. The optimum operational point in the steady state can be obtained by maximizing the productivity rate using feed substrate concentration as the independent variable with the equations of the static model as constraints. In the present study, three model-based control schemes have been developed and implemented for a continuous fermenter. The first method modifies the well-known dynamic matrix control (DMC) algorithm by making it adaptive. The other two use nonlinear model predictive control algorithms (NMPC, nonlinear model predictive control) for calculation of control actions. The NMPC1 algorithm, which uses orthogonal collocation in finite elements, acted similar to NMPC2, which uses equidistant collocation. These algorithms are compared with DMC. The results obtained show the good performance of nonlinear algorithms
Disciplinas: Química
Palabras clave: Fermentaciones,
Ingeniería química,
Control predictivo,
Fermentación continua,
Fermentadores,
Controladores
Keyword: Chemistry,
Fermentation,
Chemical engineering,
Predictive control,
Continuous fermentation,
Fermenters,
Controllers
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