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| Content Provider | Springer Nature Link |
|---|---|
| Author | Arpornwichap, Amornchai Kittisupakorn, Paisan Hussain, Mohamed Azlan |
| Copyright Year | 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 plant/model mismatch in reaction rate and heat transfer coefficient. |
| Starting Page | 221 |
| Ending Page | 226 |
| Page Count | 6 |
| File Format | |
| ISSN | 02561115 |
| Journal | Korean Journal of Chemical Engineering |
| Volume Number | 19 |
| Issue Number | 2 |
| e-ISSN | 19757220 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2002-01-01 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Process Control Batch Reactor Model Predictive Control Generic Model Control Kalman Filter Industrial Chemistry/Chemical Engineering Catalysis Materials Science Biotechnology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Chemistry Chemical Engineering |
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