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Free keywords:
precipitation; population balance; state estimation; observer; distributed parameter system; unscented Kalman Filter; observation by online minimization
Abstract:
The on-line determination of particle property distributions by direct measurements is often difficult, because the measurement equations are not invertible or because the inverse problem is ill-posed. If the process is observable, one can use state estimation techniques in order to reconstruct unmeasurable internal states of the process. This is discussed here for a semi-batch precipitation reactor. A Square Root Unscented Kalman Filter and state estimation by online minimisation are studied for the case of a measurable average particle size. Both estimators use a one-dimensional population balance model. The two approaches are compared in simulations.
Copyright © 2008 Published by Elsevier Ltd.
[accessed February 2, 2009]
