Abstract
The use of model-based approaches is proposed to improve the control performance of an industrial polymerization reactor. This involves the development of a process model using system identification techniques, the simulation of the plant within the Simulink environment to allow for the design and validation of control strategies. From these studies a Smith Predictor was implemented to significantly improve the polymer viscosity control. A hardware platform is developed to facilitate the implementation of sophisticated algorithms such as recursive least squares, that could not be accommodated on the existing DCS.
| Original language | English |
|---|---|
| Pages (from-to) | 7/1-7/3 |
| Journal | IEE Colloquium (Digest) |
| Issue number | 81 |
| Publication status | Published - 1 Jan 1994 |
| Externally published | Yes |
| Event | Computing and Control Division Colloquium on Advances in Control in the Process Industries: an Exercise in Technology Transfer - London, USA Duration: 30 Mar 1994 → 30 Mar 1994 |