Title :
Application of nonlinear model predictive control in continuous crystallization systems
Author :
Yang Yang ; Nagy, Zoltan K.
Author_Institution :
Purdue Univ., West Lafayette, IN, USA
Abstract :
Continuous crystallizers have great advantages on crystal quality consistency and process efficiency. In this study, a continuous two stage mixed suspension mixed product removal (MSMPR) cascade crystallizer is modeled using population balance model (PBM), with both cooling and antisolvent addition applied to generate supersaturation. The application of nonlinear model predictive control (NMPC) is discussed considering both yield and crystal size as objectives.
Keywords :
cooling; crystallisation; crystallisers; nonlinear control systems; predictive control; quality control; suspensions; NMPC; PBM; antisolvent addition; continuous crystallization systems; continuous crystallizers; continuous two-stage MSMPR cascade crystallizer; cooling; crystal quality consistency; crystal size; mixed suspension mixed product removal cascade crystallizer; nonlinear model predictive control; population balance model; process efficiency; supersaturation; Crystallization; Crystallizers; Input variables; Mathematical model; Predictive control; Temperature control;
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
DOI :
10.1109/ACC.2015.7172002
