Title :
Nonlinear model predictive control in a batch fermentator with state estimation
Author :
Gonzalez Santos, A.I. ; Zamarreno Cosme, J.M. ; de Prada Moraga, C.
Author_Institution :
Dipt. Ing. de Sist. y Autom., Univ. de Valladolid, Valladolid, Spain
Abstract :
In this paper the use of nonlinear model predictive control of batch process is presented. The controller uses a continuous first principles model as the internal one. The process states are estimated using a moving horizon state estimator. The approach is illustrated by a simulation study of a batch process for the glucose fermentation to gluconic acid.
Keywords :
batch processing (industrial); fermentation; nonlinear control systems; predictive control; process control; state estimation; sugar; batch fermentator; batch process; continuous first principle model; gluconic acid; glucose fermentation; moving horizon state estimator; nonlinear model predictive control; process state estimator; state estimation; Batch production systems; Mathematical model; Optimization; Predictive control; Predictive models; Sugar; Time measurement; Batch control; Estimation algorithms; Multiple-criterion optimization problems; Nonlinear systems; Predictive control;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2
