Object-Oriented Neurofuzzy Modeling and Control of a Binary Distillation Column by Using MODELICA

Author(s):  
Javier Fernandez de Canete ◽  
Alfonso Garcia-Cerezo ◽  
Inmaculada Garcia-Moral ◽  
Pablo del Saz ◽  
Ernesto Ochoa
2013 ◽  
Vol 40 (14) ◽  
pp. 5648-5660 ◽  
Author(s):  
J. Fernandez de Canete ◽  
A. Garcia-Cerezo ◽  
I. Garcia-Moral ◽  
P. Del Saz ◽  
E. Ochoa

2020 ◽  
Vol 1 (6) ◽  
Author(s):  
Janani Rajaraman ◽  
Thirunavukkarasu Indiran ◽  
Eadala Sarath Yadav ◽  
Shanmuga Priya Selvanathan

2009 ◽  
Vol 2009 ◽  
pp. 1-14 ◽  
Author(s):  
Vu Trieu Minh ◽  
Ahmad Majdi Abdul Rani

This paper introduces a calculation procedure for modeling and control simulation of a condensate distillation column based on the energy balance structure. In this control, the reflux rate and the boilup rate are used as the inputs to control the outputs of the purity of the distillate overhead and the impurity of the bottom products. The modeling simulation is important for process dynamic analysis and the plant initial design. In this paper, the modeling and simulation are accomplished over three phases: the basic nonlinear model of the plant, the full-order linearised model, and the reduced-order linear model. The reduced-order linear model is then used as the reference model for a model-reference adaptive control (MRAC) system to verify the applicable ability of a conventional adaptive controller for a distillation column dealing with the disturbance and the model-plant mismatch as the influence of the plant feed disturbances.


Sign in / Sign up

Export Citation Format

Share Document