Title :
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
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;
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
DOI :
10.1109/ICCA.2009.5410331
