Mathematical Modeling and Advanced Control of the Refinery Processes: A Review

Laith S. Mahmood; Khalid Alzobai; Salam K. Al-Dawery

doi:10.29194/NJES.28020253

Authors

Laith S. Mahmood Midland Refineries Company, Ministry of Oil, Baghdad, Iraq
Khalid M. Mousa Al-zobai Department of Chemical Engineering, Al Nahrain University, Baghdad, Iraq.
Salam K. Al-Dawery University of Nizwa, Sultanate of Oman.

DOI:

https://doi.org/10.29194/NJES.28020253

Keywords:

Modeling and advanced control, Distillation column, Model Predictive Control, Fuzzy logic control, Artificial Neural Network.

Abstract

The oil industry has a direct impact on the economic feasibility of other sectors and is considered to be the most important energy source used to turn the wheels of other industries. Therefore, it was necessary to pay attention and continuously develop this industry, to find the best modern techniques for designing, pre-commissioning and controlling process, to improve efficiency, preserve energy and achieve the highest production of costly components with the highest purity of the product. This study aims to provide a literary analysis of the stages of development and progress of the dynamics and control of the petroleum industry, in particular the distillation column, because it is multivariable with high interaction between control cycles, nonlinear behaviour and large gains. Control processes have undergone many developments and modernizations to achieve the best results. Various control methods have been used, ranging from simple proportional-integral-derivative controller (PID) to advanced control strategies such as model predictive control (MPC), multivariate model predictive control (MMPC), fuzzy logic control (FLC), quadratic dynamic matrix control (QDMC), artificial neural network control (ANN) and other advanced control techniques. The authors concluded from the review that the advanced control strategies superior than the conventional methods.

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Author Biography

Khalid M. Mousa Al-zobai, Department of Chemical Engineering, Al Nahrain University, Baghdad, Iraq.

Prof. in Chemical Engineering Department, Al Nahrain University, Baghdad, Iraq

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