Using an advanced control technique for controlling a distillation column

Author

Paraschiv, Nicolae ; Baiesu, A. ; Stamatescu, Grigore

Author_Institution

Pet.-Gas Univ. of Ploiesti, Ploiesti, Romania

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

581

Lastpage

584

Abstract

Advanced control is the most efficient technology available to achieve the objective of any industrial process, namely the reduction of variable costs while maintaining product quality. Some advanced control methods are: model based predictive control, internal model control, adaptive control, fuzzy control, robust control, neural network based control and optimal control. One advanced control method that is successfully used in industrial control applications is Model Based Predictive Control (MBPC). This paper presents a control application using this advanced control technique for controlling a binary distillation column.

Keywords

distillation equipment; predictive control; adaptive control; advanced control technique; binary distillation column control; fuzzy control; industrial control applications; internal model control; model based predictive control; neural network based control; optimal control; product quality; robust control; variable costs reduction; Adaptive control; Costs; Distillation equipment; Fuzzy control; Industrial control; Neural networks; Optimal control; Predictive control; Predictive models; Robust control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2009. ICCA 2009. IEEE International Conference on

Conference_Location

Christchurch

Print_ISBN

978-1-4244-4706-0

Electronic_ISBN

978-1-4244-4707-7

Type

conf

DOI

10.1109/ICCA.2009.5410331

Filename

5410331