Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/28475
Title: The Stability Analysis of a Modified Cascade Control Strategy for Khartoum Refinery Delayed Coking Unit's Drums
Authors: Ahmed, Lina Amer Alsharif
Hamed, Tomadir Awad Ibraheem
Keywords: Cascade Control
Delayed Coking Unit
MATLAB Simulation
PI and PID Controllers
, Stability Analysis
Step Response
Issue Date: 23-May-2026
Publisher: Sudan University of Science and Technology
Citation: Ahmed. Lina Amer Alsharif. The Stability Analysis of a Modified Cascade Control Strategy for Khartoum Refinery Delayed Coking Unit's Drums/ Lina Amer Alsharif , Tomadir Awad Ibraheem Hamed.- Journal of Engineering and Computer Sciences.- Vol 24,No1. – 2026.- article
Abstract: The delayed coking unit is a process that converts heavy oil residues into more valuable products. The pressure control of the coking drums is important for process safety, yield, and stability. However, it has received limited study compared to temperature control. Cascade control is suitable for many industrial processes, especially when enhanced by combining proportional (P), integral (I), and derivative (D) actions in the control loops. This study focused on modifying a previous cascade control strategy developed to control the pressure inside the coking drums at Khartoum Refinery by controlling the heating fuel flow rate. The modification included replacing the Proportional (P) controller in the secondary loop with Proportional-Integral (PI) and Proportional-Integral-Derivative (PID) controllers to evaluate their impact on the overall control system stability. MATLAB simulations were used to calculate system transfer functions and test stability through direct substitution, root locus, Bode plots, and step response analysis. The results showed instability with both controllers due to reduced phase margins and increased high-frequency noise. Several control strategies were recommended to enhance the system performance, such as Lead/Lag compensators, Model Predictive Control (MPC), and State Feedback control.
URI: https://repository.sustech.edu/handle/123456789/28475
ISSN: 1858-6783
Appears in Collections:Volume 24 No. 1



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