(747f) A Sufficient and Necessary Condition for Global Convergence of Continuous Crystallizers | AIChE

(747f) A Sufficient and Necessary Condition for Global Convergence of Continuous Crystallizers

Authors 

Du, J. - Presenter, Carnegie Mellon University


A Sufficient and Necessary Condition for global
convergence

of Continuous Crystallizers

Juan Du and B. Erik Ydstie,
Department of Chemical Engineering,

Carnegie Mellon University, Pittsburgh, PA

The main contribution of this work is three-fold. First a
sufficient and necessary condition for continuous crystallization process is
derived to guarantee the global exponential convergence of any trajectories. All
of the possible trajectories converge to one nominal trajectory given that the
process starts with different initial conditions or it is  under temporary
perturbation, due to change in boundary flows or external forces. The priori
knowledge of an attractor is not required to analyze the convergence behavior.
We use contraction theory to conclude the incremental stability, i.e. stability
of the system trajectory with respect to each other. Incremental stability is a
stronger form of stability than uniform global exponential stability with respect
to origin, derived by traditional Lyapunov method. We use virtual displacement
to measure the distance between any two trajectories. The nonlinear dynamics of
the process is described in an exact differential form.

Secondly, we develop a control structure to make the system
follow a reference trajectory. The closed-loop convergence analysis provides us
guidelines to select process measurement and manipulated variables. Inventory
control is applied to regulate the process dynamics. Two control structures are
proposed based on the incremental stability condition. One is to use inlet
concentration of mother liquid to control the degree of supersaturation. The
other is to manipulate crystal withdrawal rate to keep total mass of crystals
constant. We use contraction theory to prove their validity. Furthermore
numerical experiments demonstrate the effectiveness of the control strategy.

The last but not least, we construct a generalized thermodynamic
metric to measure the distance between two trajectories of the crystallization
process. The metric goes to zero as the two trajectories approach each other. The
metric is characterized by the thermodynamic extensive variable and their
conjugated variables, i.e. intensive variable in the tangent differential form.
It is directly related to the availability function defined in classic
thermodynamics. In addition we show that the thermodynamic metric is convex
which facilitates the generalization of current results.