Nonlinear observer with adaptive grid allocation for a fixed-bed adsorption process

Real-time knowledge of concentration profiles inside the adsorption bed is essential for the feedback control of a pressure swing adsorption (PSA) process. A difficulty encountered when developing an observer for this purpose is that the fixed-bed adsorption model is very stiff; thus, either a large number of grid points or an adaptive grid allocation is required to solve the model accurately through discretization. The objective of this study is to present a nonlinear observer with an adaptive grid allocation for an adsorption bed to estimate a spatially distributed state. Experimental verification revealed that the proposed technique can accurately and rapidly predict the breakthrough curve in addition to other process variables despite uncertainties in the model parameters and in the feed composition.

► A nonlinear observer with an adaptive grid allocation for an adsorption bed. ► The observer can predict the spatial concentration profiles accurately. ► The observer is fast enough for the real-time implementation. ► The proposed technique was validated through experiments.