Title :
Adaptative interval observer with application to the estimation of biofuel production by microalgae
Author :
Mairet, Francis ; Moisan, Marcelo ; Bernard, Olivier
Author_Institution :
Dept. de Mat., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
Abstract :
In this paper, the design of an interval observer with an adaptive dynamical gain is presented. The observer is formulated in the framework of robust state estimation of uncertain dynamical systems, where an interval that encloses the unknown state variables is provided. Here the observer is based on a change of coordinate that involves a time varying gain. We introduce a dynamics for the gain, whose trajectory converges toward a predefined optimal value (which maximizes the convergence rate of the observer). The observer performance is illustrated with the estimation of microalgal oil in the framework of biofuel production. The proposed observer design, when applied to experimental data of Isochrysis affinis galbana, appears to be a suitable robust estimation technique.
Keywords :
adaptive systems; biofuel; convergence; estimation theory; microorganisms; observers; process control; state estimation; time-varying systems; trajectory control; uncertain systems; adaptative interval observer; adaptive dynamical gain; biofuel production estimation; isochrysis affinis galbana; microalgae; microalgal oil; observer performance; predefined optimal value; robust state estimation; time varying gain; uncertain dynamical systems; unknown state variables; Atmospheric modeling; Equations; Lead; Mathematical model; Uncertainty;
Conference_Titel :
Control & Automation (MED), 2012 20th Mediterranean Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4673-2530-1
Electronic_ISBN :
978-1-4673-2529-5
DOI :
10.1109/MED.2012.6265698