Authors:
Vlad Muresan
;
Mihail Abrudean
;
Honoriu Valean
;
Tiberiu Coloşi
;
Mihaela-Ligia Unguresan
;
Valentin Sita
;
Iulia Clitan
and
Daniel Moga
Affiliation:
Technical University of Cluj-Napoca, Romania
Keyword(s):
Separation Column, 13C Isotope, Internal Model Control Strategy, Neural Networks, Distributed Parameter Process, Approximating Analytical Solution.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Industrial Automation and Robotics
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Intelligent Components for Control
;
Intelligent Control Systems and Optimization
;
Neural Networks Based Control Systems
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Modeling
;
Systems Modeling and Simulation
Abstract:
The paper presents a solution for the 13C isotope concentration control inside and at the output of a
separation column, solution based on the Internal Model Control strategy. The 13C isotope results from a
chemical exchange process carbon dioxide – carbamate, which is a distributed parameter process. In order
to model the mentioned process, an original form of the approximating analytical solution which describes
the process work in transitory regime is determined. The evolution of the approximating solution depends
both on time and on the position from the column height. The reference model of the fixed part of the
control structure is implemented using neural networks, representing an original solution due to the fact that
a neural model is determined for a distributed parameter process. The controller is, also, implemented using
neural networks, its main parameter being adapted in relation to the transducer position change in the
separation column. The advantages of using the pro
posed concentration control strategy consist of: the
possibility of controlling the value of the 13C isotope concentration in any point from the separation column
height; the improvement of the system performance regarding the settling time; the possibility to reject the
effect of the disturbances.
(More)