| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 724506 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
This paper presents an explorative work about a Model Predictive Control (MPC) technique. A nonlinear model predictive controller was designed and applied to a fedbatch bioprocess. First, bioprocess and its model are described. Then, a controller based in a nonlinear MPC scheme (Dual Fuzzy Model Predictive Control DF-MPC) is proposed with the aim to test the control of substrate concentration in simulation and to conclude about its ability to tackle the difficulties inherited from the bioprocess batch operation mode. In addition, different kinds of disturbances were applied showing the powerful disturbance rejection of the controller.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
