Abstract
Real-time knowledge of concentration profiles inside the adsorption bed is essential for feedback control of a pressure swing adsorption process. A difficulty encountered in developing an observer for this purpose is that the fixed-bed adsorption model is highly stiff and either a large number of grid points or an adaptive grid allocation is indispensable to accurately solve the model through discretization. The objective of this study is to present a nonlinear observer with adaptive grid allocation for an adsorption bed to estimate 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 the uncertainties in model parameters as well as the feed composition.
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