Mujtaba, I.M. and Hussain, Mohd Azlan (1998) Optimal operation of dynamic processes under process-model mismatches: Application to batch distillation. Computers & Chemical Engineering, 22. S621-S624. ISSN 0098-1354, DOI https://doi.org/10.1016/S0098-1354(98)00109-4.
Full text not available from this repository.Abstract
Optimal operation policy of dynamic processes can be significantly different with and without due consideration to the process-model mismatches. In this work, a general optimisation framework is developed to obtain efficiently the optimal operation policy of dynamic processes under process-model mismatches. Neural network techniques have been used to predict the dynamic non-linear process-model mismatches. An important feature of the optimisation framework is that it allows the use of discrete process data in a continuous model to predict discrete and/or continuous mismatch profiles. The method is applied to an inherently dynamic batch distillation process and is demonstrated with an example. Neural network technique is found to predict dynamic mismatch profiles for this process with sufficient accuracy. Optimal operation:policy using a simple model with mismatches, predicted by the neural network, is found to be very close to that of the actual process.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Additional Information: | Suppl. S Zl637 Times Cited:7 Cited References Count:10 |
| Uncontrolled Keywords: | dynamic systems; process-model mismatches; batch distillation; optimisation; simultaneous-optimization; column. |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TP Chemical technology |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr Jenal S |
| Date Deposited: | 11 Jul 2013 01:12 |
| Last Modified: | 10 Feb 2021 03:27 |
| URI: | http://eprints.um.edu.my/id/eprint/7098 |
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