Model-based control strategies for a chemical batch reactor with exothermic reactions
Document Type
Article
Publication Date
1-1-2002
Abstract
Batch reactor control provides a very challenging problem for the process control engineer. This is because a characteristic of its dynamic behavior shows a high nonlinearity. Since applicability of the batch reactor is quite limited to the effectiveness of an applied control strategy, the use of advanced control techniques is often beneficial. This work presents the implementation and comparison of two advanced nonlinear control strategies, model predictive control (MPC) and generic model control (GMC), for controlling the temperature of a batch reactor involving a complex exothermic reaction scheme. An extended Kalman filter is incorporated in both controllers as an on-line estimator. Simulation studies demonstrate that the performance of the MPC is slightly better than that of the GMC control in nominal case. For model mismatch cases, the MPC still gives better control performance than the GMC does in the presence of plan/model mismatch in reaction rate and heat transfer coefficient.
Keywords
process control, batch reactor, model predictive control, generic model control, kalman filter, predictive control, tracking, future.
Divisions
fac_eng
Publication Title
Korean Journal of Chemical Engineering
Volume
19
Issue
2
Publisher
Springer Verlag
Additional Information
537YT Times Cited:10 Cited References Count:15