Model Based Control of Continuous Crystallizers

Abstract

Crystallization is a widely used cleaning, separation and grain producing technique in the industry. The moment equation model of an isothermal continuous crystallizer forms a dynamical system the state of which is represented by the vector of six variables (: the first four leading moments, solute concentration, solvent concentration) and its time evolution occurs in a region of the six-dimensional phase space. The crystallizer is a nonlinear MIMO system with strong coupling between the state variables. The results of the controlling study have shown that the linear MPC is an adaptable and feasible controller and by seeding, the controllability of the crystallizer increases.