Dynamic Optimization and Robust Control of Batch Crystallization

Crystallization is used to produce vast quantities of materials. Batch crystallization is widely practiced for high-value products. Batch crystallizers are desired to operate at an optimal trajectory to produce a desired product quality and crystal size distribution (CSD). In this work the dynamic optimization via nonlinear programming techniques and the robust control of a non-isothermal batch crystallizer with two practical robust control approaches is addressed: (i) modeling error compensation, and (ii) integral high order sliding mode control. The controller designs are based on the reduced-order model representation of the population balance equation resulting after the application of the method of moments. Numerical simulations show good closed-loop performance and robustness properties.