The application of an on-line model error tolerant sub-optimal controller to a chemical reactor

1979 ◽  
Vol 1 (2) ◽  
pp. 121-127
Author(s):  
R.J. Litchfield ◽  
A. Locke ◽  
K. Campbell
Keyword(s):  
Chemical Reactor ◽  
Model Error ◽  
Optimal Controller ◽  
Line Model ◽  
On Line

On-Line Model Predictive Control for Energy Efficiency in Data Center

2021 ◽  
Vol 38 (12) ◽  
pp. 943-951
Author(s):  
Min Sik Chu ◽  
Hyun Ah Kim ◽  
Kyu Jong Lee ◽  
Ji Hoon Kang
Keyword(s):  
Energy Efficiency ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Data Center ◽  
Line Model ◽  
On Line

scholarly journals Experimental and modelling aspects of the reactive extrusion process

2019 ◽  
Vol 20 (8) ◽  
pp. 803 ◽  
Author(s):  
Philippe Cassagnau ◽  
Véronique Bounor-Legaré ◽  
Bruno Vergnes
Keyword(s):  
Chemical Reactor ◽  
Reactive Extrusion ◽  
Extrusion Process ◽  
Industrial Applications ◽  
Twin Screw Extruders ◽  
Single Screw Extruders ◽  
Twin Screw ◽  
On Line ◽  
Screw Extruders ◽  
Continuous Chemical

Reactive extrusion consists in using an extruder as a continuous chemical reactor. It is not a recent process, but it has been rapidly developed during the last thirty years and is more and more used today for the chemical modification of existing polymers. Among the various extrusion systems (single screw extruders, counter- and corotating twin-screw extruders, co-kneaders), the corotating twin-screw extruders are today the most widely used in reactive extrusion. After a presentation of the main advantages and drawbacks of the reactive extrusion, we will describe the way to control the process through on-line and in-line monitoring. Then, a modelling approach based on continuum mechanics will be presented, followed by an example of industrial applications of this particular process.

An On-Line Model to Calculate the Strip Temperature at Run-Out Table of Tisco’s Hot Strip Mill

2003 ◽  
Author(s):  
A. Mukhopadhyay ◽  
S. Sikdar ◽  
S. Sen
Keyword(s):  
Mechanical Properties ◽  
Mathematical Model ◽  
Hot Strip Mill ◽  
Water Cooling ◽  
Coiling Temperature ◽  
Line Model ◽  
Finite Difference Technique ◽  
Hot Strip ◽  
On Line ◽  
Explicit Finite Difference

A Mathematical model has been developed to predict the temperature profile of the strip during water-cooling on the Run-out Table (ROT) of the Hot Strip Mill (HSM). This work describes the development and implementation of the model at Tisco’s HSM. The model has been developed using Explicit Finite Difference technique to predict the coiling temperature (CT). The model has been implemented successfully after having been validated with the actual coiling temperature (CT) for several thousand coils. A number of grades of steel with various thicknesses have been tested with this on-line model and the agreement of actual CT with the predicted ones was found very good. The on-line model is used to calculate the cooling rates at different segments of the strip that are used to obtain microstructure and mechanical properties.

Error-triggered on-line model identification for model-based feedback control

AIChE Journal ◽  
2016 ◽  
Vol 63 (3) ◽  
pp. 949-966 ◽  
Author(s):  
Anas Alanqar ◽  
Helen Durand ◽  
Panagiotis D. Christofides
Keyword(s):  
Feedback Control ◽  
Model Identification ◽  
Line Model ◽  
Model Based ◽  
On Line

On-line model for gauge control of calendering processes

1990 ◽  
Vol 12 (4) ◽  
pp. 181-189 ◽  
Author(s):  
A.A. Tseng ◽  
F.H. Lin ◽  
T.J. Zhao
Keyword(s):  
Line Model ◽  
On Line
Sign in / Sign up

Export Citation Format

Share Document