A hierarchical approach to optimal control of a hybrid chromatographic batch process. / Gromov, D.; S., Li; Raisch, J.
Proc. 7th IFAC International Symposium on Advanced Control of Chemical Processes, ADCHEM'09. 2009. p. 339-344.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research
}
TY - GEN
T1 - A hierarchical approach to optimal control of a hybrid chromatographic batch process
AU - Gromov, D.
AU - S., Li
AU - Raisch, J.
PY - 2009
Y1 - 2009
N2 - In this paper we consider a hierarchical approach to solve an optimal control problem for a hybrid chromatographic batch process. The plant consists of several chromatographic columns which can be connected in an arbitrary way. The plant configuration can therefore be considered as a discrete-valued control input. The dynamics of each chromatographic column is described by two coupled nonlinear partial differential equations. Hence, we have a hybrid optimisation problem with highly nonlinear dynamics. To handle complexity we propose a hierarchical two-level optimisation scheme: first, we solve a number of continuous optimisation problems that correspond to fixed configurations. In a subsequent step, on the basis of these solutions, we solve a discrete optimisation problem to generate the optimal configuration or configuration signal. Because of the imposed structure, we can of course not expect the overall solution to be optimal. However, we demonstrate that, by using the plant configuration as an an addition
AB - In this paper we consider a hierarchical approach to solve an optimal control problem for a hybrid chromatographic batch process. The plant consists of several chromatographic columns which can be connected in an arbitrary way. The plant configuration can therefore be considered as a discrete-valued control input. The dynamics of each chromatographic column is described by two coupled nonlinear partial differential equations. Hence, we have a hybrid optimisation problem with highly nonlinear dynamics. To handle complexity we propose a hierarchical two-level optimisation scheme: first, we solve a number of continuous optimisation problems that correspond to fixed configurations. In a subsequent step, on the basis of these solutions, we solve a discrete optimisation problem to generate the optimal configuration or configuration signal. Because of the imposed structure, we can of course not expect the overall solution to be optimal. However, we demonstrate that, by using the plant configuration as an an addition
KW - Batch chromatography
KW - Hierarchical optimisation
KW - Hybrid systems
KW - Optimal control
M3 - статья в сборнике материалов конференции
SP - 339
EP - 344
BT - Proc. 7th IFAC International Symposium on Advanced Control of Chemical Processes, ADCHEM'09
ER -
ID: 4749548