Model predictive control of distillation column in the carbon dioxide recycling in methanol technological process
DOI:
https://doi.org/10.15587/2312-8372.2016.85613Keywords:
model predictive control, distillation column, technological process, recycling, carbon dioxide, methanolAbstract
The distillation column (DC) was taken as the research object. A homogeneous catalyst is necessary for continuous operation of the column. Considered object is promising for carbon dioxide recycling in the methanol production enterprises, power plants, boiler stations. Modern high-quality model predictive control system is developed for the column. It is a basic unit of the latest technological process of carbon dioxide recycling in the methanol production. Its feature is the ability to take into account the non-linearity and the use of optimization procedure. The controller settings are calculated for DC: P controllers to stabilize levels (for channel D-MD Kp = -2; for channel B-MB Kp = 0,2) and the PI controllers for stabilization of concentrations (for channel L-y D Kp = 2 and Ti = 0,01, for channel V-xB Kp = -30, Ti = 0,1). For a system with MPC were calculated: discrete step (c) = 0,5; prediction horizon = 500; control horizon = 2; balance of stability and speed = 0,8; observer sensitivity = 0,5. Methanol production process was simulated with 2 systems. The comparison results show that the quality of transients in a system with model-predictive control higher when all perturbations, except perturbation over the phase state of the input stream. However, the latter in the above technological process practically does not occur. Use of MPC algorithm can significantly improve the effectiveness of the control system. The developed control system is very good meeting the major perturbation to change the product concentration, which enters the column from the synthesis reactor. System with MPC controller has more quality than a system with PI controller. When implementing the distillation column, an amount of emitted CO2 and use of methanol as a finished product, and as a raw material will by reduced. In the future there is the possibility of applying a model predictive system for other objects and processes to improve the quality of transients.
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Copyright (c) 2016 Виталий Семенович Пастушенко, Алексей Аркадьевич Стопакевич, Андрей Алексеевич Стопакевич
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