Adaptive dynamic matrix control of a distillation column with closed-loop online identification

1995 ◽  
Vol 5 (5) ◽  
pp. 315-327 ◽  
Author(s):  
Sachi N. Maiti ◽  
Deoki N. Saraf
Keyword(s):  
Distillation Column ◽  
Closed Loop ◽  
Dynamic Matrix Control ◽  
Adaptive Dynamic ◽  
Dynamic Matrix ◽  
Online Identification ◽  
Matrix Control

Adaptive Dynamic Matrix Control of pH

1994 ◽  
Vol 33 (3) ◽  
pp. 641-646 ◽  
Author(s):  
Sachi N. Maiti ◽  
Navneet Kapoor ◽  
Deoki N. Saraf
Keyword(s):  
Dynamic Matrix Control ◽  
Adaptive Dynamic ◽  
Dynamic Matrix ◽  
Matrix Control

Expert system based adaptive dynamic matrix control for ball mill grinding circuit

2009 ◽  
Vol 36 (1) ◽  
pp. 716-723 ◽  
Author(s):  
Xi-song Chen ◽  
Shi-hua Li ◽  
Jun-yong Zhai ◽  
Qi Li
Keyword(s):  
Expert System ◽  
Ball Mill ◽  
Dynamic Matrix Control ◽  
Adaptive Dynamic ◽  
Dynamic Matrix ◽  
Matrix Control

scholarly journals Adaptive and Non-Adaptive Dynamic Matrix Control for Conical Tank

2009 ◽  
Vol 42 (13) ◽  
pp. 543-548 ◽  
Author(s):  
W. Klopot ◽  
T. Klopot ◽  
M. Metzger
Keyword(s):  
Dynamic Matrix Control ◽  
Adaptive Dynamic ◽  
Dynamic Matrix ◽  
Matrix Control

Control of Reactive Distillation Column: A Review

2010 ◽  
Vol 8 (1) ◽  
Author(s):  
Neha Sharma ◽  
Kailash Singh
Keyword(s):  
Predictive Control ◽  
Distillation Column ◽  
Reactive Distillation ◽  
Critical Survey ◽  
Dynamic Matrix Control ◽  
Dynamic Matrix ◽  
Complex Interactions ◽  
Optimal Controllers ◽  
Model Predictive Controllers ◽  
Matrix Control

The objective of this paper is to give a critical survey of the present status within the field of control of a reactive distillation column. Control of a reactive distillation column is a challenging task due to process nonlinearity and complex interactions between the vapor-liquid equilibrium and chemical reactions. There are different types of control methodologies, which have been studied in the reactive distillation, ranging from a simple proportional-integral (PI) controller to advanced model predictive controllers (MPC) such as dynamic matrix control (DMC), quadratic dynamic matrix control (QDMC), robust multivariable predictive control technology (RMPCT), generalized predictive control (GPC), and other advanced control techniques. With the goals of optimal performance, energy conservation and cost effectiveness of process operations in industries, the design of optimal controllers and controller performance assessment have received great attention in both industries and academia. The main objective of control is to maintain the product purity within the desired range.

Sign in / Sign up

Export Citation Format

Share Document