Intelligent control system for extractive distillation columns

TG das Neves, WB Ramos, GW de Farias Neto… - Korean Journal of …, 2018 - Springer
We developed and implemented an intelligent control system to be used in an extractive
distillation column that produces anhydrous ethanol using ethylene glycol as solvent. The …

Neural network based model predictive control of batch extractive distillation process for improving purity of acetone

W Daosud, K Jariyaboon, P Kittisupakorn… - Engineering …, 2016 - engj.org
In a pharmaceutical industry, batch extractive distillation (BED), a combination process
between extraction and distillation processes, has been widely implemented to separate …

Robust trajectory tracking in a reactive batch distillation process using multirate nonlinear internal model control

PS Reddy, SC Patwardhan… - Industrial & Engineering …, 2019 - ACS Publications
Operating a reactive batch distillation (RBD) process in an optimal manner is of paramount
importance for improving product quality and profitability in the face of changing market …

[PDF][PDF] Feed Forward Neural Network Model for Isopropyl Myristate Production in Industrial-scale Semi-batch Reactive Distillation Columns

NAA Bashah, MR Othman, N Aziz - Journal of Engineering Science, 2015 - usm.my
The application of the artificial neural network (ANN) model in chemical industries has
grown due to its ability to solve complex model and online application problems. Typically …

Design and Operation of Batch Distillation

E Sorensen - Distillation, 2014 - Elsevier
Batch distillation is still the most widely used separation method in the batch chemical
processing industry. Its operating principle is simple, and the process is highly flexible and …

Predictive control strategy for temperature control for milk pasteurization process

S Niamsuwan, P Kittisupakorn, IM Mujtaba - Computer Aided Chemical …, 2013 - Elsevier
A milk pasteurization process is a nonlinear process and multivariable interacting system.
This makes it difficultly to control by the conventional on-off controllers. Even if the on-off …

MIMO Neural Wiener based Model Predictive Control (NWMPC) for MTBE reactive distillation using simulated annealing-particle swarm optimization (SA-PSO)

MMN Sudibyo, N Aziz - Computer Aided Chemical Engineering, 2015 - Elsevier
MTBE is commonly produced using reactive distillation column which combine reactor and
distillation column in single unit process. To achieve high MTBE purity and reactant …

Control of a polybutylene succinate (pbs) polymerization in a semi-batch reactor by neural network model based predictive controller

T Plengsangsri - 2022 - digital.car.chula.ac.th
Polybutylene succinate (PBS) is a biodegradable plastic known for its strength and versatility
in various applications. This research presents a data-driven approach to simulate …

Improvement of multicomponent batch reactive distillation under parameter uncertainty by inferential State with model predictive control

W Weerachaipichasgul, P Kittisupakorn, IM Mujtaba - 2013 - bradscholars.brad.ac.uk
Batch reactive distillation is aimed at achieving a high purity product, therefore, there is a
great deal to find an optimal operating condition and effective control strategy to obtain …

Sistema de controle inteligente baseado em redes neurais artificiais aplicado ao processo de destilação extrativa.

TG NEVES - 2020 - dspace.sti.ufcg.edu.br
Os processos de destilação extrativa são amplamente utilizados nas indústrias químicas
para a separação de misturas não ideais, por exemplo, na desidratação de etanol pelo seu …