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

© The Institution of Engineering and Technology
Received 04/08/2011, Accepted 14/11/2012, Revised 10/11/2012, Published

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.

Inspec keywords: control system synthesis; distillation equipment; observers; linear systems; PI control

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

Subjects: Control system analysis and synthesis methods; Control applications in chemical and oil refining industries; Production equipment; Simulation, modelling and identification

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