DocumentCode :
269619
Title :
Singular linear parameter-varying observer for composition estimation in a binary distillation column
Author :
Aguilera-González, Adriana ; Astorga-Zaragoza, C.-M. ; Adam-Medina, Manuel ; Theilliol, Didier ; Reyes-Reyes, Juan ; García-Beltrán, Carlos-Daniel
Author_Institution :
Centro Nac. de Investig. y Desarrollo Tecnol., Cuernavaca, Mexico
Volume :
7
Issue :
3
fYear :
2013
fDate :
February 14 2013
Firstpage :
411
Lastpage :
422
Abstract :
The aim of this study is to provide a full comprehensive study of the singular linear parameter-varying (LPV) systems and observer synthesis in a real process. The states and unknown inputs estimation problem for a binary distillation column is solved by using an LPV proportional-integral observer (PI-Observer). A singular LPV model of the process is developed. This model facilitates the design of the PI-Observer for singular LPV systems. The observer proposed is tested using experimental data of a distillation column separating an ethanol-water mixture. The results indicate that the observer is able to accurately reconstruct the product composition dynamics and the unknown inputs of the process.
Keywords :
PI control; control system synthesis; distillation equipment; linear systems; observers; singularly perturbed systems; LPV proportional-integral observer; PI-observer; binary distillation column; composition estimation; ethanol-water mixture separation; observer synthesis; product composition dynamics; singular LPV systems; singular linear parameter-varying observer; singular linear parameter-varying systems; states estimation problem; unknown input estimation problem;
fLanguage :
English
Journal_Title :
Control Theory & Applications, IET
Publisher :
iet
ISSN :
1751-8644
Type :
jour
DOI :
10.1049/iet-cta.2011.0469
Filename :
6544440
Link To Document :
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