REAL-TIME CONTROL OF INDUSTRIAL UREA EVAPORATION PROCESS USING MODEL PREDICTIVE CONTROL
Ismail Mohamed Mahmoud Fahmy;
Abstract
A wide range of processes in chemical industry are characterized by the existence
of nonlinear, multivariable interacting, time delay, and constraints properties. The evaporation process in urea industry is considered one of these processes and represents a challenge for the traditional control strategy. Model predictive control (MPC) technique provides the best solution to improve the control performance for optimum process operation.
This Thesis presents the dynamic modeling, identification and real-time simulation of urea evaporation process control in a fertilizer plant using MPC technology. The results showed a significant improvement of the control performance using MPC compared to the traditional control strategy especially during the plant load variation.
of nonlinear, multivariable interacting, time delay, and constraints properties. The evaporation process in urea industry is considered one of these processes and represents a challenge for the traditional control strategy. Model predictive control (MPC) technique provides the best solution to improve the control performance for optimum process operation.
This Thesis presents the dynamic modeling, identification and real-time simulation of urea evaporation process control in a fertilizer plant using MPC technology. The results showed a significant improvement of the control performance using MPC compared to the traditional control strategy especially during the plant load variation.
Other data
| Title | REAL-TIME CONTROL OF INDUSTRIAL UREA EVAPORATION PROCESS USING MODEL PREDICTIVE CONTROL | Other Titles | التحكم في الزمن الحقيقي في منظومة صناعة تركيز محلول اليوريا بإستخدام نموذج التحكم التنبؤي | Authors | Ismail Mohamed Mahmoud Fahmy | Issue Date | 2016 |
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