Singular linear parameter-varying observer for composition estimation in a binary distillation column

Adriana Aguilera Gonzalez (1, 1) , Carlos Manuel Astorga Zaragoza (1) , Manuel Adam Medina (1) , Didier Theilliol (2) , Juan Reyes-Reyes (1) , Carlos Daniel Garcia-Beltran (1)

1 CENIDET - Centro Nacional de Investigación y Desarrollo Tecnológico [Mexico]
2 CRAN - Centre de Recherche en Automatique de Nancy

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.

Mots clés: binary distillation column; LPV proportional-integral observer; singular linear parameter-varying observer; observer synthesis; product composition dynamics; composition estimation; state estimation problem; PI-observer design; ethanol-water mixture; unknown inputs estimation problem

Domaines: Automatique / Robotique

Adriana Aguilera Gonzalez, Carlos Manuel Astorga Zaragoza, Manuel Adam Medina, Didier Theilliol, Juan Reyes-Reyes, et al.. Singular linear parameter-varying observer for composition estimation in a binary distillation column. IET Control Theory and Applications, 2013, 7 (3), pp.411-422. ⟨10.1049/iet-cta.2011.0469⟩. ⟨hal-00841849⟩