Design of Multivariable Control System of a Distillation Tower via Simulation Using MATLAB/Simulink

Abstract

This paper deals with the multivariable control system of the distillation tower by applying multi-structures in MATLAB/Simulink for a binary mixture of benzene and toluene. Four structures configurations of the distillation are applied based on the level and temperature variables. The PID controller is used in all structures in multivariable. These structures are compared with different disturbances. The integral absolute error is a criterion to test the controller\\\’s performance under step change disturbances. The controller\\\’s performance was investigated by recording responses to disturbances in set-point of reflux ratio, flow-rate of top and bottom products. The step testing appears to be the single-ended temperature control with bottom and top-level structures to regulate the flow rate of the bottom and top products. The best structure is top-level, bottom level and condenser temperature because the column made more stable, the integral absolute error is minimum value and fast access to set-point value.

Optimization of Distribution Control System in Oil Refinery by Applying Hybrid Machine Learning Techniques

“…The reflux ratio affects the distillate products' purity (light naphtha), increasing reflux ratio between the return flow rate liquid to the head of the splitter with the rate of flow rate to outlet distillate product leads to increased distillation rate and improves the quality of light naphtha. Simultaneously, there are standards for designing the distillation columns that cannot be exceeded to keep the oil refinery production line's balance and stable [14], [31]. Evaporation losses are related to the true vapour pressure (TVP) of liquids at their storage temperature.…”

Optimization of Layout and Pipe Sizes for Irrigation Pipe Distribution Network Using Steiner Point Concept

“…In the process of optimization, the targeted trial of decrease in pipe diameters of the network was guided by two individual subroutines, thus exploring the search space [38]. Some of the hydraulic simulation software is also coupled with these heuristic techniques to obtain the optimized design of WDN [39]. e basics of hydraulic simulation and interoperability of the water distribution network were presented and a hydraulic WDN model was prepared for scheduling and science operations of WDN with the help of SCADA data and GIS data in WaterGEMS to optimize the network effectively [40].…”