Computational-Based Framework for Optimizing Dynamic Processes with Plant-Model Mismatch

Main Article Content

I. M. Mujtaba
M. A. Hussain

Abstract

A general computational sequence in optimizing the operation of a dynamic process is firstly highlighted in this paper. However, in most cases these dynamic processes include process-model mismatch, which shifts the optimal operation of the process. To overcome this, a model-mismatch estimator such as the neural network technique has been implemented in the optimization strategy. A modified general computational framework to incorporate these mismatches is developed for this purpose. The framework also allows the use of discrete process data in a continuous model to predict discrete and/or continuous mismatch profiles. The strategy is applied on a batch distillation system and the optimal operation using model mismatches is found to be comparable to that using the actual process model.

Downloads

Download data is not yet available.

Article Details

How to Cite
Mujtaba, I. M., & Hussain, M. A. (2000). Computational-Based Framework for Optimizing Dynamic Processes with Plant-Model Mismatch. Malaysian Journal of Computer Science, 13(1), 27–33. Retrieved from https://jpmm.um.edu.my/index.php/MJCS/article/view/5817
Section
Articles