State estimation and inferential control for a reactive batch distillation column

2010 ◽  
Vol 23 (2) ◽  
pp. 262-270 ◽  
Author(s):  
Almıla Bahar ◽  
Canan Özgen
Keyword(s):  
State Estimation ◽  
Distillation Column ◽  
Batch Distillation ◽  
Inferential Control ◽  
Reactive Batch Distillation

Dynamic Simulation of Reactive Batch Distillation Column for Ethyl Acetate Synthesis

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
Rahul Patel ◽  
Kailash Singh ◽  
Vishnu Pareek ◽  
Moses O. Tadé
Keyword(s):  
Ethyl Acetate ◽  
Distillation Column ◽  
Optimum Operating ◽  
Reflux Ratio ◽  
Algebraic Equations ◽  
Batch Distillation ◽  
Runge Kutta Method ◽  
Column Dynamics ◽  
Batch Time ◽  
Reactive Batch Distillation

A detailed mathematical dynamic model of reactive batch distillation column is formulated for ethyl acetate synthesis and presented in terms of differential and algebraic equations (DAEs). These DAEs are solved using fourth order Runge-Kutta method in MATLAB® to obtain the detailed column dynamics. The simulation results provide the dynamics of reboiler and distillate compositions, reboiler temperature, ethyl acetate purity in the accumulated distillate and conversion of the reactants. These results are analyzed to derive the optimum operating policy, i.e., reflux ratio and batch time.

Inferential Control of a Distillation Column Using an Online Estimator

2008 ◽  
Vol 3 (1) ◽  
Author(s):  
Vijander Singh ◽  
Indra Gupta ◽  
Hari Om Gupta
Keyword(s):  
Data Acquisition ◽  
Product Quality ◽  
Control Strategy ◽  
Distillation Column ◽  
Measurement Techniques ◽  
Data Acquisition System ◽  
Distillation Process ◽  
Present Scheme ◽  
Inferential Control ◽  
Control Scheme

The time to measure and maintain distillate quality in the presence of disturbances is the main objective of the distillation process. To maintain the product quality, a suitable tray temperature is kept constant with the help of a control strategy near its set point. As the controlled variables cannot be measured online easily due to measurement lags and sampling delays, the secondary measurement techniques are used to estimate the distillate quality by adjusting the values of manipulated variables (inferential control). This paper presents an inferential control scheme for a distillation column using an Ethernet-based data acquisition system to provide a standard online estimator. In the present scheme the distillation parameters are acquired from a client PC connected to the network and the distillate composition is estimated online by a developed ANN-based estimator. The above estimator is used for an inferential control strategy to control distillate composition. The inferential control scheme is exercised for various disturbances and the effect of the disturbances is observed on distillate quality.

Optimization Aspects for Reactive Batch Distillation.

2001 ◽  
Vol 34 (3) ◽  
pp. 312-318 ◽  
Author(s):  
SABINE GIESSLER ◽  
SHINJI HASEBE ◽  
IORI HASHIMOTO
Keyword(s):  
Batch Distillation ◽  
Reactive Batch Distillation
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